Triple
T14659339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Date Night |
E344193
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Phil Foster
Phil Foster is the hapless yet determined suburban husband and father portrayed by Steve Carell in the comedy film "Date Night."
|
E1137266
|
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: Phil Foster | Statement: [Date Night, hasMainCharacter, Phil Foster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Foster Context triple: [Date Night, hasMainCharacter, Phil Foster]
-
A.
Phil Foster
Phil Foster was an American actor and comedian best known for playing Laverne’s father, Frank DeFazio, on the sitcom "Laverne & Shirley."
-
B.
Jim Foster
Jim Foster is an American sports executive best known as the creator and founding figure of the Arena Football League.
-
C.
Jeff Foster
Jeff Foster is an entrepreneur best known for founding the global athletic footwear and apparel brand Reebok.
-
D.
James Foster
James Foster is an economist known for his influential work on poverty measurement and social welfare, including co-developing the widely used Foster-Greer-Thorbecke (FGT) poverty indices.
-
E.
Michael Ferguson
Michael Ferguson is a television director known for his work on the British soap opera EastEnders.
- 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: Phil Foster Triple: [Date Night, hasMainCharacter, Phil Foster]
Generated description
Phil Foster is the hapless yet determined suburban husband and father portrayed by Steve Carell in the comedy film "Date Night."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phil Foster Target entity description: Phil Foster is the hapless yet determined suburban husband and father portrayed by Steve Carell in the comedy film "Date Night."
-
A.
Phil Foster
Phil Foster was an American actor and comedian best known for playing Laverne’s father, Frank DeFazio, on the sitcom "Laverne & Shirley."
-
B.
Jim Foster
Jim Foster is an American sports executive best known as the creator and founding figure of the Arena Football League.
-
C.
Jeff Foster
Jeff Foster is an entrepreneur best known for founding the global athletic footwear and apparel brand Reebok.
-
D.
James Foster
James Foster is an economist known for his influential work on poverty measurement and social welfare, including co-developing the widely used Foster-Greer-Thorbecke (FGT) poverty indices.
-
E.
Michael Ferguson
Michael Ferguson is a television director known for his work on the British soap opera EastEnders.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feadfd53a48190b7efaa4c470da784 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feb0af0e3c8190b3a52ac0f119c9c3 |
completed | May 9, 2026, 3:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb10503b08190b57f408247d4e085 |
completed | May 9, 2026, 3:59 a.m. |
Created at: April 10, 2026, 1:27 a.m.