Triple

T19481557
Position Surface form Disambiguated ID Type / Status
Subject Seth Gabel E487395 entity
Predicate birthName P65 FINISHED
Object Seth Cosentino Gabel NE NERFINISHED

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: Seth Cosentino Gabel | Statement: [Seth Gabel, birthName, Seth Cosentino Gabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seth Cosentino Gabel
Context triple: [Seth Gabel, birthName, Seth Cosentino Gabel]
  • A. Seth Gabel
    Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
  • B. Seth Cosentino chosen
    Seth Cosentino, better known professionally as Seth Gabel, is an American actor recognized for his roles in television series such as "Fringe" and "Salem."
  • C. Seth Klein
    Seth Klein is a Canadian policy analyst and author known for his work on social and economic justice, including his leadership role at the British Columbia office of the Canadian Centre for Policy Alternatives.
  • D. Seth Meyer
    Seth Meyer is the son of "Twilight" author Stephenie Meyer.
  • E. Seth Jared Greenberg
    Seth Jared Greenberg, better known as Seth Grahame-Smith, is an American author, screenwriter, and producer best known for works like "Pride and Prejudice and Zombies" and "Abraham Lincoln: Vampire Hunter."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e634393b8081909f5e4c38b2f1a9b7 completed April 20, 2026, 2:12 p.m.
Created at: April 10, 2026, 1:39 p.m.