Triple

T14710256
Position Surface form Disambiguated ID Type / Status
Subject Twilight (2008 film) E345528 entity
Predicate starredActor P5563 FINISHED
Object Kellan Lutz E74547 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: Kellan Lutz | Statement: [Twilight (2008 film), starredActor, Kellan Lutz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kellan Lutz
Context triple: [Twilight (2008 film), starredActor, Kellan Lutz]
  • A. Kellan Lutz chosen
    Kellan Lutz is an American actor and model best known for playing the vampire Emmett Cullen in the Twilight film series.
  • B. Ethan Embry
    Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television series.
  • C. Justin Bamber
    Justin Bamber is a relatively obscure individual whose primary current notability appears to stem from being listed as a bearer of the surname Bamber.
  • D. Chace Crawford
    Chace Crawford is an American actor best known for his role as Nate Archibald on the television series "Gossip Girl."
  • E. Nick Stahl
    Nick Stahl is an American actor known for his roles in films such as "Terminator 3: Rise of the Machines," "In the Bedroom," and "Sin City."
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ce17f688190a86979cca8b88494 completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:28 a.m.