Triple

T3422368
Position Surface form Disambiguated ID Type / Status
Subject The Misfits E72142 entity
Predicate composer P1361 FINISHED
Object Alex North E192506 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: Alex North | Statement: [The Misfits, composer, Alex North]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex North
Context triple: [The Misfits, composer, Alex North]
  • A. Alex North chosen
    Alex North was an American composer renowned for his innovative and influential film scores, including his work on major Hollywood epics and dramas.
  • B. Bernard Newman
    Bernard Newman was an American costume designer best known for his glamorous work in 1930s Hollywood musicals and films.
  • C. Victor Young
    Victor Young was an American composer, arranger, and conductor best known for his prolific film scores and popular songs during Hollywood’s Golden Age.
  • D. Elmer Bernstein
    Elmer Bernstein was an American composer renowned for his prolific and influential film scores across genres, including classics like "The Ten Commandments," "The Magnificent Seven," and "To Kill a Mockingbird."
  • E. Ernest Gold
    Ernest Gold was an Austrian-born American composer best known for his acclaimed film scores, including the Oscar-winning music for "Exodus."
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb95223e081908b2954769d2f46c8 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35472881c8190baf90b91daa924ec completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.