Triple

T614842
Position Surface form Disambiguated ID Type / Status
Subject The Twilight Saga: Breaking Dawn – Part 2 E12180 entity
Predicate basedOnWorkAuthor P2806 FINISHED
Object Stephenie Meyer E69015 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: Stephenie Meyer | Statement: [The Twilight Saga: Breaking Dawn – Part 2, basedOnWorkAuthor, Stephenie Meyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephenie Meyer
Context triple: [The Twilight Saga: Breaking Dawn – Part 2, basedOnWorkAuthor, Stephenie Meyer]
  • A. Stephenie Meyer chosen
    Stephenie Meyer is an American author best known for writing the hugely popular Twilight vampire romance series, which was adapted into a successful film franchise.
  • B. E. L. James
    E. L. James is a British author best known for writing the bestselling erotic romance trilogy "Fifty Shades of Grey."
  • C. Valeria Wasserman
    Valeria Wasserman is a Brazilian linguist and translator best known as the wife of renowned intellectual Noam Chomsky.
  • D. Jessica Barth
    Jessica Barth is an American actress best known for playing Tami-Lynn in the comedy films "Ted" and "Ted 2."
  • E. Alan Webber
    Alan Webber is an American politician and former business magazine co-founder who serves as the mayor of Santa Fe, New Mexico.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e0a0f588190b953fdb585263307 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5554b4f888190b9b64ece37087bf4 completed March 2, 2026, 9:15 a.m.
Created at: March 1, 2026, 7:35 p.m.