Triple

T1737295
Position Surface form Disambiguated ID Type / Status
Subject 60 Minutes E37947 entity
Predicate executiveProducer P7225 FINISHED
Object Don Hewitt E195364 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: Don Hewitt | Statement: [60 Minutes, executiveProducer, Don Hewitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Hewitt
Context triple: [60 Minutes, executiveProducer, Don Hewitt]
  • A. Don Hewitt chosen
    Don Hewitt was an American television news producer best known for pioneering modern TV newsmagazine journalism.
  • B. Joe Coburn
    Joe Coburn was a 19th-century Irish-American bare-knuckle boxer who became one of the leading heavyweight fighters of his era.
  • C. Roone Arledge
    Roone Arledge was an influential American television executive and producer who revolutionized sports broadcasting and later led ABC News, pioneering formats like Monday Night Football and modern TV news magazines.
  • D. Roger E. Broggie
    Roger E. Broggie is a steam locomotive at Walt Disney World Railroad named in honor of Disney Imagineer and master machinist Roger E. Broggie, who was instrumental in developing Disney’s early railroad and ride systems.
  • E. George L. Dahl
    George L. Dahl was a prominent 20th-century American architect known for shaping much of Dallas’s skyline and major civic landmarks.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a47cd481909c211e4da7f5dfe9 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5c065088190b831c65ae55eed14 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:30 p.m.