Triple

T18610816
Position Surface form Disambiguated ID Type / Status
Subject Amityville 3-D E454887 entity
Predicate musicBy P1952 FINISHED
Object Howard Blake 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: Howard Blake | Statement: [Amityville 3-D, musicBy, Howard Blake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Blake
Context triple: [Amityville 3-D, musicBy, Howard Blake]
  • A. Howard Blake chosen
    Howard Blake is a British composer best known for his film scores and concert works, including the music for the animated classic "The Snowman."
  • B. Harry Gregson Williams
    Harry Gregson-Williams is a British composer best known for his prolific film and video game scores, including work on major Hollywood action and animated features.
  • C. Monty Norman
    Monty Norman was a British composer best known for writing the iconic "James Bond Theme" used throughout the long-running spy film series.
  • D. Howard Goodall
    Howard Goodall is a British composer and broadcaster best known for his television theme music, choral works, and presentations on music history.
  • E. Ron Goodwin
    Ron Goodwin was a British composer and conductor best known for his rousing film scores for war and adventure movies in the mid-20th century.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d013748819099126e27e7ec543d completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:45 a.m.