Triple

T15674268
Position Surface form Disambiguated ID Type / Status
Subject Rosemary Cross E377396 entity
Predicate appearsInWork P795 FINISHED
Object Rushmore E77920 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: Rushmore | Statement: [Rosemary Cross, appearsInWork, Rushmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rushmore
Context triple: [Rosemary Cross, appearsInWork, Rushmore]
  • A. Rushmore chosen
    Rushmore is a 1998 Wes Anderson coming-of-age comedy film starring Jason Schwartzman and Bill Murray, known for its offbeat humor, distinctive visual style, and deadpan performances.
  • B. Hancock
    Hancock is a small rural town in western Massachusetts known for its scenic Berkshire landscapes and outdoor recreation.
  • C. Hancock
    Hancock is a prominent surname most famously associated with John Hancock, a key figure of the American Revolution and first signer of the United States Declaration of Independence.
  • D. Hancock
    Hancock is a small city in Michigan’s Upper Peninsula known for its Finnish-American heritage and proximity to Lake Superior.
  • E. Sra. Rushmore
    Sra. Rushmore is a prominent Spanish advertising agency known for creating high-profile, emotionally driven campaigns for major global brands.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82ebe98481908d528d2cba485de4 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:16 a.m.