Triple

T6955142
Position Surface form Disambiguated ID Type / Status
Subject Ted (2012 film) E161222 entity
Predicate writer P1360 FINISHED
Object Alec Sulkin E75925 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: Alec Sulkin | Statement: [Ted (2012 film), writer, Alec Sulkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alec Sulkin
Context triple: [Ted (2012 film), writer, Alec Sulkin]
  • A. Alec Sulkin chosen
    Alec Sulkin is an American television writer, producer, and voice actor best known for his long-running work on the animated series Family Guy.
  • B. Alex Shulman
    Alex Shulman is a person notable enough to be recognized as a bearer of the surname Shulman, though specific widely known biographical details are not clearly established.
  • C. Alec Busch
    Alec Busch is an individual notable enough to be recognized as a bearer of the surname Busch, though specific widely known public details about him are not readily available.
  • D. Peter Garnsey
    Peter Garnsey is a prominent historian of the ancient world, particularly known for his influential scholarship on the social, economic, and legal history of the Roman Empire.
  • E. Jonathan Speirs
    Jonathan Speirs was a renowned Scottish architectural lighting designer known for co-founding influential lighting design practices and shaping the illumination of landmark buildings worldwide.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75883f6888190a75515be49e7879e completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.