Triple

T22148054
Position Surface form Disambiguated ID Type / Status
Subject The Divergent Series: Allegiant E547341 entity
Predicate basedOnWorkAuthor P2806 FINISHED
Object Veronica Roth NE NERFINISHED

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: Veronica Roth | Statement: [The Divergent Series: Allegiant, basedOnWorkAuthor, Veronica Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veronica Roth
Context triple: [The Divergent Series: Allegiant, basedOnWorkAuthor, Veronica Roth]
  • A. Veronica Roth chosen
    Veronica Roth is an American novelist best known for writing the bestselling young adult dystopian Divergent series.
  • 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. Jenny Downham
    Jenny Downham is a British author best known for her young adult novel "Before I Die," which was adapted into the film "Now Is Good."
  • 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 (2 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f209688190afea1f275c922c73 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.