Triple
T11857825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Acres |
E282083
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Eb Dawson
Eb Dawson is a naive but lovable farmhand and surrogate son to Oliver and Lisa Douglas on the classic American sitcom "Green Acres."
|
E951676
|
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: Eb Dawson | Statement: [Green Acres, featuresCharacter, Eb Dawson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eb Dawson Context triple: [Green Acres, featuresCharacter, Eb Dawson]
-
A.
Matthew Dawson
Matthew Dawson was a prominent 19th-century British racehorse trainer renowned for preparing multiple classic-winning Thoroughbreds.
-
B.
Sam Dawson
Sam Dawson is a developmentally disabled single father who fights a legal battle to retain custody of his young daughter in the film "I Am Sam."
-
C.
Mark Dawson
Mark Dawson is one of the children of the late British-American actor and game show host Richard Dawson.
-
D.
Jeremy Dawson
Jeremy Dawson is a film producer best known for his work on Wes Anderson’s movies, including the acclaimed feature "The Grand Budapest Hotel."
-
E.
Dylan Clark
Dylan Clark is a film producer known for his work on major Hollywood projects including "The Mountain Between Us" and the "Planet of the Apes" reboot series.
- 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: Eb Dawson Triple: [Green Acres, featuresCharacter, Eb Dawson]
Generated description
Eb Dawson is a naive but lovable farmhand and surrogate son to Oliver and Lisa Douglas on the classic American sitcom "Green Acres."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eb Dawson Target entity description: Eb Dawson is a naive but lovable farmhand and surrogate son to Oliver and Lisa Douglas on the classic American sitcom "Green Acres."
-
A.
Matthew Dawson
Matthew Dawson was a prominent 19th-century British racehorse trainer renowned for preparing multiple classic-winning Thoroughbreds.
-
B.
Sam Dawson
Sam Dawson is a developmentally disabled single father who fights a legal battle to retain custody of his young daughter in the film "I Am Sam."
-
C.
Mark Dawson
Mark Dawson is one of the children of the late British-American actor and game show host Richard Dawson.
-
D.
Jeremy Dawson
Jeremy Dawson is a film producer best known for his work on Wes Anderson’s movies, including the acclaimed feature "The Grand Budapest Hotel."
-
E.
Dylan Clark
Dylan Clark is a film producer known for his work on major Hollywood projects including "The Mountain Between Us" and the "Planet of the Apes" reboot series.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a699089c8190b7a298baf13dcded |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f2816404ac81909129347607fb5fd3 |
completed | April 29, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69f28d363cac8190b961f17245db493c |
completed | April 29, 2026, 10:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f29150bf508190bdf037d40e445e6d |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 8, 2026, 9:43 p.m.