Triple

T14218549
Position Surface form Disambiguated ID Type / Status
Subject The Bedford Diaries E352424 entity
Predicate composer P1361 FINISHED
Object Jeff Beal E114176 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: Jeff Beal | Statement: [The Bedford Diaries, composer, Jeff Beal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Beal
Context triple: [The Bedford Diaries, composer, Jeff Beal]
  • A. Jeff Beal chosen
    Jeff Beal is an American composer best known for his atmospheric, minimalist scores for film and television, particularly the acclaimed political drama "House of Cards."
  • B. Bill Richard
    Bill Richard is the father of Martin Richard, the youngest victim of the 2013 Boston Marathon bombing, and has since been involved in public remembrance and community efforts honoring his son.
  • C. John Whitesell
    John Whitesell is an American television and film director and producer known for his work on various TV series and feature comedies.
  • D. Bob Bakish
    Bob Bakish is an American media executive who serves as the president and chief executive officer of Paramount Global, overseeing its global entertainment and streaming operations.
  • E. Jim Lewis
    Jim Lewis is a writer best known for his extensive work on Muppet-related projects, contributing scripts and material for various films, shows, and attractions.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de621258d4819085f358cd2cf109e4 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28121a288190975d5852f9a503d4 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:06 a.m.