Triple

T11380059
Position Surface form Disambiguated ID Type / Status
Subject Sam Bowden E269570 entity
Predicate appearsIn P795 FINISHED
Object Cape Fear E255019 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: Cape Fear | Statement: [Sam Bowden, appearsIn, Cape Fear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cape Fear
Context triple: [Sam Bowden, appearsIn, Cape Fear]
  • A. Cape Fear chosen
    Cape Fear is a 1962 psychological thriller film in which Gregory Peck plays a lawyer terrorized by a vengeful ex-convict.
  • B. Cape Fear
    Cape Fear is a prominent headland on the coast of North Carolina, known for its treacherous shoals, maritime history, and role as a key landmark for Atlantic navigation.
  • C. Bankhead
    Bankhead is a residential area forming part of the town of Rutherglen in South Lanarkshire, Scotland.
  • D. Bankhead
    Bankhead is a surname most notably associated with the prominent American political family that included U.S. House Speaker William B. Bankhead and actress Tallulah Bankhead.
  • E. Bloody Creek
    Bloody Creek is a small waterway in Nova Scotia, Canada, historically notable as the site of early 18th-century conflicts between British and French (and allied Indigenous) forces.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc331f188190a7f69f1aae53fb6b completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a10f988190b173dc4880a8c6c6 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:34 p.m.