Triple

T12664256
Position Surface form Disambiguated ID Type / Status
Subject Josephine Hull E302505 entity
Predicate notableWork P4 FINISHED
Object Harvey E151799 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: Harvey | Statement: [Josephine Hull, notableWork, Harvey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harvey
Context triple: [Josephine Hull, notableWork, Harvey]
  • A. Harvey chosen
    Harvey is a classic 1950 American comedy film in which James Stewart plays a genial man whose best friend is an invisible six-foot-tall rabbit.
  • B. Harvey
    Harvey is the middle name of Lee Harvey Oswald, the alleged assassin of U.S. President John F. Kennedy.
  • C. Harvey
    Harvey is a rural town in the South West of Western Australia known for its agriculture, dairy production, and citrus orchards.
  • D. Harvey
    Harvey is a masculine given name of Old English origin meaning "battle worthy" or "strong in battle."
  • E. Harvey
    Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617e030881908444743b8a7e0d75 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688a19148190b8d252d3706d2b05 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:19 p.m.