Triple

T10471012
Position Surface form Disambiguated ID Type / Status
Subject Wednesday E246920 entity
Predicate stars P1956 FINISHED
Object Hunter Doohan E865484 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: Hunter Doohan | Statement: [Wednesday, stars, Hunter Doohan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunter Doohan
Context triple: [Wednesday, stars, Hunter Doohan]
  • A. Hunter Doohan chosen
    Hunter Doohan is an American actor best known for his role as Tyler Galpin in the Netflix supernatural comedy-horror series "Wednesday."
  • B. Alexander Gould
    Alexander Gould is an American actor best known for voicing the character Nemo in Pixar's animated film "Finding Nemo" and for his role on the television series "Weeds."
  • C. Xander Dane Jones
    Xander Dane Jones is the son of American actress and model January Jones.
  • D. Connor Trinneer
    Connor Trinneer is an American actor best known for his role as Commander Charles "Trip" Tucker III on the science fiction television series Star Trek: Enterprise.
  • E. Robert Reynolds
    Robert Reynolds is a common personal name shared by multiple notable individuals across fields such as entertainment, sports, and academia.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509305fec81908b1acd91ae1f875d completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc68b49481909715c36a4c0e7c4f completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:20 p.m.