Triple

T17101113
Position Surface form Disambiguated ID Type / Status
Subject Lauren Bacall E414981 entity
Predicate family P566 FINISHED
Object Bacall family E414981 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: Bacall family | Statement: [Lauren Bacall, family, Bacall family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bacall family
Context triple: [Lauren Bacall, family, Bacall family]
  • A. Bacall family chosen
    The Bacall family is the prominent Hollywood family of legendary actress Lauren Bacall and her descendants, including her daughter Leslie Bogart.
  • B. Mankiewicz family
    The Mankiewicz family is a prominent American show business dynasty known for its influential screenwriters, directors, and media figures across multiple generations.
  • C. Bogart family
    The Bogart family is an American show-business family best known for including legendary film actor Humphrey Bogart and his descendants.
  • D. Zanuck family
    The Zanuck family is a prominent American film-producing dynasty best known for its multi-generational influence on Hollywood studio filmmaking.
  • E. Saroyan family
    The Saroyan family is an American artistic family best known for its members’ contributions to literature, film, and the performing arts.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc0182cc8190b8aa9c980f11ba57 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fdda488190a1ca5c7ca875e044 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.