Triple
T9794706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To Serve Man |
E237689
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Michael Chambers
Michael Chambers is the central protagonist and narrator of the classic The Twilight Zone episode "To Serve Man," in which he uncovers the true, sinister purpose behind an apparently benevolent alien visitation.
|
E823184
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Michael Chambers | Statement: [To Serve Man, mainCharacter, Michael Chambers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Chambers Context triple: [To Serve Man, mainCharacter, Michael Chambers]
-
A.
Chris Chambers
Chris Chambers is a sensitive, troubled yet loyal boy from a rough family background in Stephen King’s coming-of-age story "The Body" and its film adaptation "Stand by Me."
-
B.
Adam Chapman
Adam Chapman is a television producer known for his work on the acclaimed nature documentary series "Our Planet."
-
C.
Craig Chambers
Craig Chambers is a computer scientist known for his work on object-oriented language design and implementation, particularly the Cecil and Diesel languages.
-
D.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
E.
Michael Parker
Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Michael Chambers Triple: [To Serve Man, mainCharacter, Michael Chambers]
Generated description
Michael Chambers is the central protagonist and narrator of the classic The Twilight Zone episode "To Serve Man," in which he uncovers the true, sinister purpose behind an apparently benevolent alien visitation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Chambers Target entity description: Michael Chambers is the central protagonist and narrator of the classic The Twilight Zone episode "To Serve Man," in which he uncovers the true, sinister purpose behind an apparently benevolent alien visitation.
-
A.
Chris Chambers
Chris Chambers is a sensitive, troubled yet loyal boy from a rough family background in Stephen King’s coming-of-age story "The Body" and its film adaptation "Stand by Me."
-
B.
Adam Chapman
Adam Chapman is a television producer known for his work on the acclaimed nature documentary series "Our Planet."
-
C.
Craig Chambers
Craig Chambers is a computer scientist known for his work on object-oriented language design and implementation, particularly the Cecil and Diesel languages.
-
D.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
E.
Michael Parker
Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34916dc8190acef2ba003e56a33 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc5118a481908a65d730f86c7723 |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1cce3d9d481909eaf7278dfe20955 |
completed | April 5, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1cd5d1670819085c58ff8889318af |
completed | April 5, 2026, 2:47 a.m. |
Created at: March 30, 2026, 8:28 p.m.