Triple

T13700089
Position Surface form Disambiguated ID Type / Status
Subject Always Be My Maybe E328492 entity
Predicate producer P490 FINISHED
Object Michael Golamco E1063461 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 Golamco | Statement: [Always Be My Maybe, producer, Michael Golamco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Golamco
Context triple: [Always Be My Maybe, producer, Michael Golamco]
  • A. Michael Golamco chosen
    Michael Golamco is an American playwright and screenwriter known for his work in film, television, and theater, often exploring Asian American experiences and contemporary relationships.
  • B. Andrew Goczkowski
    Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
  • C. Michael Gilio
    Michael Gilio is an American screenwriter and filmmaker best known for co-writing the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
  • D. Michael Begler
    Michael Begler is an American television writer and producer best known for co-creating the period medical drama series "The Knick."
  • E. Michael Margotta
    Michael Margotta is an American actor best known for his work in 1970s film and television, including a prominent role in the countercultural drama "Drive, He Said."
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fcddf08190bee3dce22be39a34 completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 9:54 p.m.