Triple

T6965949
Position Surface form Disambiguated ID Type / Status
Subject Archie Bunker E161487 entity
Predicate createdBy P806 FINISHED
Object Norman Lear E5052 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: Norman Lear | Statement: [Archie Bunker, createdBy, Norman Lear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Lear
Context triple: [Archie Bunker, createdBy, Norman Lear]
  • A. Norman Lear chosen
    Norman Lear was an influential American television writer and producer best known for creating groundbreaking sitcoms such as "All in the Family," "The Jeffersons," and "Good Times."
  • B. Larry Gelbart
    Larry Gelbart was an American comedy writer best known for co-creating the TV series M*A*S*H and writing sharp, witty scripts for stage, film, and television.
  • C. Jack Shulman
    Jack Shulman is the son of American actress Anne Hathaway and her husband, actor and businessman Adam Shulman.
  • D. Tom Mankiewicz
    Tom Mankiewicz was an American screenwriter, director, and producer best known for his work on several James Bond films and the script for the 1978 film "Superman."
  • E. Ben Mankiewicz
    Ben Mankiewicz is an American television host and film critic best known as a longtime presenter and commentator on Turner Classic Movies (TCM).
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db121174819098e73e45f6c9cc91 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c758a57b8481908cef7de9b3abf7a3 completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:30 p.m.