Triple

T11639086
Position Surface form Disambiguated ID Type / Status
Subject Harry Carey E276609 entity
Predicate spouse P13 FINISHED
Object Olive Carey E423994 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: Olive Carey | Statement: [Harry Carey, spouse, Olive Carey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olive Carey
Context triple: [Harry Carey, spouse, Olive Carey]
  • A. Olive Carey chosen
    Olive Carey was an American film and television actress best known for her character roles in classic Westerns, including collaborations with director John Ford.
  • B. Gladys Hill
    Gladys Hill was an American screenwriter best known for co-writing the acclaimed 1975 adventure film "The Man Who Would Be King," directed by John Huston.
  • C. Shortlands
    Shortlands is a suburban area in the London Borough of Bromley, known for its residential character and commuter links into central London.
  • D. Alexandra Headland
    Alexandra Headland is a coastal suburb on Queensland’s Sunshine Coast known for its popular surf beach, scenic headland, and relaxed seaside atmosphere.
  • E. Morley
    Morley is a rural township located within Ontario’s Rainy River District in Canada.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25e90c08190b7fb73939a2be3d7 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87d006e881908e008ffa17502d47 completed April 26, 2026, 9:46 p.m.
Created at: April 8, 2026, 9:39 p.m.