Triple

T10954065
Position Surface form Disambiguated ID Type / Status
Subject Anchors Aweigh E258796 entity
Predicate screenwriter P2831 FINISHED
Object Isobel Lennart E138342 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: Isobel Lennart | Statement: [Anchors Aweigh, screenwriter, Isobel Lennart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isobel Lennart
Context triple: [Anchors Aweigh, screenwriter, Isobel Lennart]
  • A. Isobel Lennart chosen
    Isobel Lennart was an American screenwriter and playwright best known for writing the book for the musical "Funny Girl," which became a landmark role for Barbra Streisand.
  • B. Suzannah Ibsen
    Suzannah Ibsen was a Norwegian intellectual and literary figure best known as the wife and close collaborator of playwright Henrik Ibsen, playing a key role in managing his household and supporting his work.
  • C. Isobel Wilson
    Isobel Wilson is known as the daughter of Anthony Howard Wilson, the influential English music entrepreneur and co-founder of Factory Records.
  • D. Isabella Karle
    Isabella Karle was an American chemist renowned for her pioneering work in X-ray crystallography, which significantly advanced the determination of molecular structures.
  • E. Isobel Elsom
    Isobel Elsom was an English actress known for her extensive career in British and American stage and film, often portraying aristocratic or authoritative women.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fe4cfc81909032296c31e077f0 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3447d8cc88190a3e28f204a93a7d3 completed April 18, 2026, 8:44 a.m.
Created at: April 8, 2026, 9:23 p.m.