Triple
T9794710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To Serve Man |
E237689
|
entity |
| Predicate | leadActorRole |
P5563
|
FINISHED |
| Object | Michael Chambers |
E823184
|
NE FINISHED |
How this triple was built (2 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, leadActorRole, Michael Chambers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Chambers Context triple: [To Serve Man, leadActorRole, Michael Chambers]
-
A.
Michael Chambers
chosen
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.
-
B.
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."
-
C.
Adam Chapman
Adam Chapman is a television producer known for his work on the acclaimed nature documentary series "Our Planet."
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d1d5abb26c81909d597b65f24f9bcf |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:28 p.m.