Triple

T15617054
Position Surface form Disambiguated ID Type / Status
Subject Vivienne Segal E375442 entity
Predicate notableWork P4 FINISHED
Object The Desert Song E255093 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: The Desert Song | Statement: [Vivienne Segal, notableWork, The Desert Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Desert Song
Context triple: [Vivienne Segal, notableWork, The Desert Song]
  • A. The Desert Song chosen
    The Desert Song is a popular operetta, frequently adapted for film and stage, known for its romantic adventure set in the Moroccan desert and its memorable title song.
  • B. My Blue Heaven
    My Blue Heaven is a 1950 American musical comedy film best known for its lighthearted story and performances by stars like Jane Wyatt.
  • C. My Blue Heaven
    My Blue Heaven is a 1990 American crime-comedy film about a mobster in the witness protection program, known for its humorous take on organized crime and suburban life.
  • D. Songs of Farewell
    Songs of Farewell is a renowned set of unaccompanied choral motets by English composer Hubert Parry, noted for its rich harmonies and reflective, elegiac character.
  • E. A Song Flung Up to Heaven
    A Song Flung Up to Heaven is Maya Angelou’s sixth autobiographical volume, chronicling her experiences during the turbulent years surrounding the assassinations of Malcolm X and Martin Luther King Jr.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56dd1e4c819090bf3cd4425b39b7 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.