Triple

T13611158
Position Surface form Disambiguated ID Type / Status
Subject The Glory of Love E325188 entity
Predicate producer P490 FINISHED
Object Michael Omartian E351996 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: Michael Omartian | Statement: [The Glory of Love, producer, Michael Omartian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Omartian
Context triple: [The Glory of Love, producer, Michael Omartian]
  • A. Michael Omartian chosen
    Michael Omartian is an American producer, keyboardist, and songwriter known for his extensive work in pop and contemporary Christian music, including co-producing major charity recordings and hit albums.
  • B. Michael Armine
    Michael Armine is an American musician and sound artist best known as the vocalist and noise/samples specialist for the post-metal band Rosetta.
  • C. Michael Elias
    Michael Elias is an American screenwriter, actor, and director best known for co-writing the hit comedy film "The Jerk" starring Steve Martin.
  • D. Michael Ontkean
    Michael Ontkean is a Canadian actor best known for his roles in the cult ice hockey film "Slap Shot" and the television series "Twin Peaks."
  • E. Michael Nouri
    Michael Nouri is an American actor best known for his roles in films like "Flashdance" and numerous television series, including "NCIS" and "Damages."
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0aa9a1481908c6f92495aff86c6 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f9a9f9c81909b0a8f4f51c461ae completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.