Triple

T9015690
Position Surface form Disambiguated ID Type / Status
Subject Tuck Everlasting E215587 entity
Predicate composer P1361 FINISHED
Object William Ross E484422 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: William Ross | Statement: [Tuck Everlasting, composer, William Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Ross
Context triple: [Tuck Everlasting, composer, William Ross]
  • A. William Ross chosen
    William Ross is an American composer, orchestrator, and conductor known for his work on numerous film scores and collaborations with major Hollywood productions.
  • B. Frank Ross
    Frank Ross was an American film producer known for his work on major mid-20th-century Hollywood productions.
  • C. William Vans Murray
    William Vans Murray was an American diplomat and politician best known for helping negotiate peace with France during the Quasi-War at the turn of the 19th century.
  • D. Philip Woodruff
    Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
  • E. John B. T. Campbell
    John B. T. Campbell was a notable figure interred at Angelus-Rosedale Cemetery in Los Angeles, recognized for his historical significance to the region.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69fc0e4c819080b60456375f94cd completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d10776e8e88190a4433e42a3b55f38 completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:06 p.m.