Triple

T3287348
Position Surface form Disambiguated ID Type / Status
Subject The Twilight Saga film series E69014 entity
Predicate stars P1956 FINISHED
Object Taylor 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 Lautner | Statement: [The Twilight Saga film series, stars, Taylor Lautner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taylor Lautner
Context triple: [The Twilight Saga film series, stars, Taylor Lautner]
  • A. Taylor Lautner chosen
    Taylor Lautner is an American actor best known for playing werewolf Jacob Black in the Twilight film series.
  • B. 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.
  • C. Josh Hutcherson
    Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film series.
  • D. 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."
  • E. Logan Lerman
    Logan Lerman is an American actor best known for his lead role in the "Percy Jackson" film series and performances in movies such as "The Perks of Being a Wallflower" and "Fury."
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05779d08190a5517951e71b1380 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3cd5f508190ac5abc2dcdf0957d completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:10 p.m.