Triple

T14939206
Position Surface form Disambiguated ID Type / Status
Subject LoveMusik E372476 entity
Predicate starred P5563 FINISHED
Object Michael Cerveris E566824 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 Cerveris | Statement: [LoveMusik, starred, Michael Cerveris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Cerveris
Context triple: [LoveMusik, starred, Michael Cerveris]
  • A. Michael Cerveris chosen
    Michael Cerveris is a Tony Award–winning American actor and singer known for his work on Broadway and in film and television.
  • B. Glenn Gilger
    Glenn Gilger is an American child voice actor best known for providing the voice of one of the Peanuts characters in the animated film "A Boy Named Charlie Brown."
  • C. Keith Nelson
    Keith Nelson is an American guitarist and songwriter best known as a founding member and primary songwriter of the hard rock band Buckcherry.
  • D. Jim Siedow
    Jim Siedow was an American character actor best known for playing the deranged cook Drayton Sawyer in the original "The Texas Chain Saw Massacre" and its sequel.
  • E. Clarke Peters
    Clarke Peters is an American actor, writer, and director best known for his roles in acclaimed television series such as The Wire and Treme, as well as numerous film and stage performances.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64a2f24819099b21566756668a2 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7d554808190a0a87d9f5e225d31 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 2:38 a.m.