Triple

T16204849
Position Surface form Disambiguated ID Type / Status
Subject Frank DeFazio E393298 entity
Predicate portrayedBy P1507 FINISHED
Object Phil Foster E416977 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: Phil Foster | Statement: [Frank DeFazio, portrayedBy, Phil Foster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Foster
Context triple: [Frank DeFazio, portrayedBy, Phil Foster]
  • A. Phil Foster chosen
    Phil Foster was an American actor and comedian best known for playing Laverne’s father, Frank DeFazio, on the sitcom "Laverne & Shirley."
  • B. Phil Foster
    Phil Foster is the hapless yet determined suburban husband and father portrayed by Steve Carell in the comedy film "Date Night."
  • C. Jim Foster
    Jim Foster is an American sports executive best known as the creator and founding figure of the Arena Football League.
  • D. Jeff Foster
    Jeff Foster is an entrepreneur best known for founding the global athletic footwear and apparel brand Reebok.
  • E. 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.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270d6e5c8190aee4bcca76cbe47c completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01481c3084819099e198c408bea464 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:03 a.m.