Triple

T15998315
Position Surface form Disambiguated ID Type / Status
Subject Matt Lanter E388031 entity
Predicate name P16 FINISHED
Object Matt Lanter E388031 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: Matt Lanter | Statement: [Matt Lanter, name, Matt Lanter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Lanter
Context triple: [Matt Lanter, name, Matt Lanter]
  • A. Matt Lanter chosen
    Matt Lanter is an American actor best known for his roles in the TV series "90210," the sci-fi show "Timeless," and as the voice of Anakin Skywalker in "Star Wars: The Clone Wars."
  • B. Kellan Lutz
    Kellan Lutz is an American actor and model best known for playing the vampire Emmett Cullen in the Twilight film series.
  • C. Xavier Samuel
    Xavier Samuel is an Australian actor known for his roles in films such as "The Twilight Saga: Eclipse," "Adore," and various Australian and international productions.
  • D. Paul Wesley
    Paul Wesley is an American actor best known for playing Stefan Salvatore in the supernatural drama television series "The Vampire Diaries."
  • E. Nicholas Brendon
    Nicholas Brendon is an American actor best known for playing Xander Harris on the television series "Buffy the Vampire Slayer."
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157893ebc8190acb75ee05e450fae completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d79dec8190b02e003f93e5dad6 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.