Triple

T3407956
Position Surface form Disambiguated ID Type / Status
Subject Taylor Lautner E71820 entity
Predicate birthName P65 FINISHED
Object Taylor Daniel Lautner E71820 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: Taylor Daniel Lautner | Statement: [Taylor Lautner, birthName, Taylor Daniel Lautner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taylor Daniel Lautner
Context triple: [Taylor Lautner, birthName, Taylor Daniel Lautner]
  • A. Taylor Lautner chosen
    Taylor Lautner is an American actor best known for playing werewolf Jacob Black in the Twilight film series.
  • B. Shia LaBeouf
    Shia LaBeouf is an American actor and performance artist known for roles in films such as the Transformers series, Honey Boy, and American Honey, as well as for his often controversial public persona.
  • C. Wes Bentley
    Wes Bentley is an American actor known for his breakout role in "American Beauty" and appearances in films like "The Hunger Games" and "Interstellar."
  • D. Zac Efron
    Zac Efron is an American actor and singer who rose to fame with Disney’s "High School Musical" series and has since starred in a variety of film and television roles.
  • E. Josh Hutcherson
    Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film series.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9056acc8190a9c50ec374851ac8 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360be3b6c81909ee0ac6d4512a56d completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:15 p.m.