Triple

T2995347
Position Surface form Disambiguated ID Type / Status
Subject The Shield E81051 entity
Predicate awardReceivedBy P11 FINISHED
Object Michael Chiklis E320978 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 Chiklis | Statement: [The Shield, awardReceivedBy, Michael Chiklis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Chiklis
Context triple: [The Shield, awardReceivedBy, Michael Chiklis]
  • A. Michael Chiklis chosen
    Michael Chiklis is an American actor best known for his Emmy-winning role as tough, corrupt detective Vic Mackey on the television drama "The Shield."
  • B. Michael Rapaport
    Michael Rapaport is an American actor and comedian known for his prolific character roles in film and television, as well as his outspoken, humorous public persona.
  • C. John Carroll Lynch
    John Carroll Lynch is an American character actor known for his versatile roles in film and television, including notable performances in works like "Fargo," "Zodiac," and "American Horror Story."
  • D. Donald Faison
    Donald Faison is an American actor and comedian best known for his role as Dr. Christopher Turk on the television series "Scrubs."
  • E. Sean Garrett
    Sean Garrett is an American songwriter and record producer known for crafting numerous chart-topping R&B and hip-hop hits for major artists in the 2000s and 2010s.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f2e5888190b3346012e2578dab completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eee1433c8190bdee291c12feeceb completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 2:59 p.m.