Triple

T12318322
Position Surface form Disambiguated ID Type / Status
Subject Mike Seaver E293662 entity
Predicate portrayedBy P1507 FINISHED
Object Kirk Cameron E285530 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: Kirk Cameron | Statement: [Mike Seaver, portrayedBy, Kirk Cameron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirk Cameron
Context triple: [Mike Seaver, portrayedBy, Kirk Cameron]
  • A. Kirk Cameron chosen
    Kirk Cameron is an American actor and evangelical Christian known for his breakout role as Mike Seaver on the 1980s sitcom "Growing Pains" and his later work in faith-based films and ministries.
  • B. Skeet Ulrich
    Skeet Ulrich is an American actor best known for his roles in films like "Scream" and "The Craft" and the television series "Jericho."
  • C. Anthony Michael Hall
    Anthony Michael Hall is an American actor best known for his roles in 1980s John Hughes films like "The Breakfast Club" and "Sixteen Candles," as well as later television and film work.
  • D. Gary Coleman
    Gary Coleman was an American child actor best known for his iconic role as Arnold Jackson on the sitcom "Diff'rent Strokes."
  • E. Corey Feldman
    Corey Feldman is an American actor and former child star best known for his roles in 1980s films such as "The Goonies," "Stand by Me," and "The Lost Boys."
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4ab1b88190979a8403a430a17c completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e88a1348190a04c21b24e1ba2b5 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.