Triple

T1878799
Position Surface form Disambiguated ID Type / Status
Subject Good Will Hunting E39804 entity
Predicate producer P490 FINISHED
Object Lawrence Bender E179302 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: Lawrence Bender | Statement: [Good Will Hunting, producer, Lawrence Bender]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence Bender
Context triple: [Good Will Hunting, producer, Lawrence Bender]
  • A. Lawrence Bender chosen
    Lawrence Bender is an American film producer best known for his longtime collaboration with Quentin Tarantino on influential films such as "Pulp Fiction" and the "Kill Bill" series.
  • B. Lawrence Sher
    Lawrence Sher is an American cinematographer best known for his visually distinctive work on films such as Joker (2019) and The Hangover series.
  • C. Thomas Blatt
    Thomas Blatt was a Polish Jewish Holocaust survivor, writer, and speaker best known for his escape from the Sobibor extermination camp and his later efforts to document its history.
  • D. Lawrence Guth
    Lawrence Guth is an American mathematician known for his influential work in harmonic analysis, combinatorial geometry, and incidence geometry.
  • E. Jon G. Burns
    Jon G. Burns is an American Republican politician serving as Speaker of the Georgia House of Representatives.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0f8e9f08190a210440823fad69e completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7edf084881908bb8db8e0348bfc8 completed March 9, 2026, 8:03 a.m.
Created at: March 4, 2026, 7:34 p.m.