Triple

T14732503
Position Surface form Disambiguated ID Type / Status
Subject Victoria E346112 entity
Predicate creator P184 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: [Victoria, creator, Stephenie Meyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephenie Meyer
Context triple: [Victoria, creator, 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. Christina Rosendahl
    Christina Rosendahl is an actress known for her role in the 1989 horror film adaptation of Edgar Allan Poe's "The Masque of the Red Death."
  • C. Veronica Roth
    Veronica Roth is an American novelist best known for writing the bestselling young adult dystopian Divergent series.
  • D. Sarah Shephard
    Sarah Shephard is a fictional character from the television series "Lost," known as Jack Shephard’s ex-wife.
  • E. Lauren Oliver
    Lauren Oliver is an American author best known for her young adult novels, including the dystopian "Delirium" series and the contemporary bestseller "Before I Fall."
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff218b93d48190a7e16c3934828aa8 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 1:29 a.m.