Triple

T10708362
Position Surface form Disambiguated ID Type / Status
Subject Dylan O'Brien E252468 entity
Predicate knownFor P22 FINISHED
Object Teen Wolf E769668 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: Teen Wolf | Statement: [Dylan O'Brien, knownFor, Teen Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teen Wolf
Context triple: [Dylan O'Brien, knownFor, Teen Wolf]
  • A. Teen Wolf
    Teen Wolf is a 1985 comedy film in which a high school student discovers he is a werewolf, starring Michael J. Fox.
  • B. Teen Wolf (TV series) chosen
    Teen Wolf is an American supernatural drama television series that follows a high school student turned werewolf as he navigates teenage life, dangerous creatures, and hidden mysteries in his town.
  • C. Teen Wolf Too
    Teen Wolf Too is a 1987 comedy film and sequel to Teen Wolf, starring Jason Bateman as a college student who discovers he has inherited his family's werewolf curse.
  • D. The Vampire Diaries
    The Vampire Diaries is a supernatural drama television series centered on vampires, romance, and small-town mysteries, based on L.J. Smith’s book series and originally aired on The CW.
  • E. The Originals
    The Originals is a graphic novel by Dave Gibbons that blends retro-futuristic style with a coming-of-age story about youth culture, gangs, and rebellion.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe5063bc8190ba12fd68a59c9a03 completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9990760b48190a05753974cdf556c completed April 11, 2026, 12:42 a.m.
Created at: April 8, 2026, 9:13 p.m.