Triple

T7672947
Position Surface form Disambiguated ID Type / Status
Subject Descendants E173789 entity
Predicate notableCharacter P1481 FINISHED
Object Audrey E273177 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: Audrey | Statement: [Descendants, notableCharacter, Audrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audrey
Context triple: [Descendants, notableCharacter, Audrey]
  • A. Audrey
    Audrey is a simple, rustic shepherdess who serves as a comic character in William Shakespeare’s pastoral comedy "As You Like It."
  • B. Audrey chosen
    Audrey is a kind-hearted, nature-loving girl in the 2012 animated film "The Lorax" whose dream of seeing real trees inspires the protagonist’s quest.
  • C. Audrey
    Audrey is a feminine given name of Old English origin, traditionally meaning "noble strength" and borne by numerous notable figures in politics, arts, and entertainment.
  • D. Marlene
    Marlene is a German biographical film directed by Joseph Vilsmaier about the life and career of actress and singer Marlene Dietrich.
  • E. Edie
    Edie is a 2017 British drama film starring Sheila Hancock as an elderly woman who embarks on a life-changing mountain-climbing adventure in the Scottish Highlands.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e06e948190b1ef2e754604ac5a completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac9818fc81908d65c03702fc1453 completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 4 p.m.