Triple

T23012349
Position Surface form Disambiguated ID Type / Status
Subject Axelrod E572940 entity
Predicate hasNotableBearer P458 FINISHED
Object George Axelrod NE NERFINISHED

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: George Axelrod | Statement: [Axelrod, hasNotableBearer, George Axelrod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Axelrod
Context triple: [Axelrod, hasNotableBearer, George Axelrod]
  • A. George Axelrod chosen
    George Axelrod was an American screenwriter, playwright, and director best known for his sharp, sophisticated comedies and adaptations, including work on classic mid-20th-century films.
  • B. Richard B. Goodwin
    Richard B. Goodwin was a British film producer known for his work on notable adaptations and genre films, including the 1974 version of "Murder on the Orient Express."
  • C. Bud Schelling
    Bud Schelling was a film editor known for his work on the 1953 Ed Wood film "Glen or Glenda."
  • D. James Nourse
    James Nourse was an 18th-century British sea captain involved in the transatlantic slave trade.
  • E. Jonathan Axelrod
    Jonathan Axelrod is an American television producer and writer best known for his work on sitcoms in the 1990s and 2000s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e202a481908d7a2f00a12229a0 completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.