Triple

T6416757
Position Surface form Disambiguated ID Type / Status
Subject Hugh Martin E127847 entity
Predicate collaboratedWith P435 FINISHED
Object Ralph Blane E125563 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: Ralph Blane | Statement: [Hugh Martin, collaboratedWith, Ralph Blane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Blane
Context triple: [Hugh Martin, collaboratedWith, Ralph Blane]
  • A. Ralph Blane chosen
    Ralph Blane was an American songwriter and lyricist best known for his work on classic MGM musicals, particularly his collaborations with Hugh Martin on songs for "Meet Me in St. Louis."
  • B. Frank Muir
    Frank Muir was a British comedy writer and broadcaster known for his witty contributions to radio and television panel shows and for co-creating several classic British sitcoms.
  • C. Harold Hartley
    Harold Hartley was a British chemist and academic known for his contributions to physical chemistry and his leadership roles in scientific organizations.
  • D. Roy Winsor
    Roy Winsor was an American television writer and producer best known as a pioneering creator of long-running daytime soap operas.
  • E. Gig Young
    Gig Young was an American film, television, and stage actor known for his suave, often cynical supporting roles and his Academy Award-winning performance in "They Shoot Horses, Don't They?".
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068ea06b08190901e0c0a18fd5170 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640ce3f9481908fa96fb5b2bc8db9 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:42 p.m.