Triple

T12951788
Position Surface form Disambiguated ID Type / Status
Subject Mata Hari (1931 film) E309908 entity
Predicate musicBy P1952 FINISHED
Object William Axt E214431 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 Axt | Statement: [Mata Hari (1931 film), musicBy, William Axt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Axt
Context triple: [Mata Hari (1931 film), musicBy, William Axt]
  • A. William Axt chosen
    William Axt was an American composer and conductor best known for his orchestral scores for early Hollywood silent and sound films.
  • B. Herbert Woods
    Herbert Woods is best known as the husband of renowned American harpist and businesswoman Sylvia Woods.
  • C. Walter Rosen
    Walter Rosen was a philanthropist and music patron best known for establishing the Caramoor estate as a cultural center for music and the arts.
  • D. Charles J. Hitch
    Charles J. Hitch was an American economist and defense analyst who served as president of the University of California after a prominent career in government and academia.
  • E. John A. Cherberg
    John A. Cherberg was a long-serving Washington State politician and former college football coach who became the state’s longest-tenured lieutenant governor.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1edcdc8190a702c2a5ea58cc67 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a005804f5c08190b545bc8b65e953f7 completed May 10, 2026, 10:03 a.m.
Created at: April 9, 2026, 5:43 p.m.