Triple

T21543097
Position Surface form Disambiguated ID Type / Status
Subject The Valley of Gwangi E531543 entity
Predicate musicBy P1952 FINISHED
Object Jerome Moross NE NERFINISHED

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: Jerome Moross | Statement: [The Valley of Gwangi, musicBy, Jerome Moross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerome Moross
Context triple: [The Valley of Gwangi, musicBy, Jerome Moross]
  • A. Jerome Moross chosen
    Jerome Moross was an American composer best known for his sweeping, Americana-infused film scores and concert works, particularly in the Western genre.
  • B. Morton Stevens
    Morton Stevens was an American television composer best known for creating the iconic original theme music for the series "Hawaii Five-O."
  • C. Eric Coates
    Eric Coates was a British computer scientist known for his involvement in early information retrieval and classification research, including work with the influential Classification Research Group.
  • D. Eric Coates
    Eric Coates was a British composer best known for his light orchestral music and popular marches that became widely familiar through radio and film.
  • E. Lukas Foss
    Lukas Foss was a German-American composer, conductor, and pianist known for his innovative, eclectic works and leadership of major American orchestras and music institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58c34808190b0eb54ba01e2cc13 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.