Triple

T22127747
Position Surface form Disambiguated ID Type / Status
Subject Revolution E546833 entity
Predicate single P3283 FINISHED
Object White Liar 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: White Liar | Statement: [Revolution, single, White Liar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Liar
Context triple: [Revolution, single, White Liar]
  • A. White Liar chosen
    "White Liar" is a popular country song by Miranda Lambert, known for its tale of romantic deception and its role in elevating her mainstream success.
  • B. The Liar
    "The Liar" is a painting by African-American artist Archibald Motley that exemplifies his vivid, jazz-age depictions of Black urban life and social interaction.
  • C. The Liar
    "The Liar" is a comic novel by Stephen Fry that follows a brilliant but deceitful young man entangled in espionage, sexuality, and storytelling.
  • D. The Lady Who Lied
    The Lady Who Lied is a 1925 American silent drama film directed by and starring Henry Kolker, adapted from a novel by Eleanor M. Ingram.
  • E. The Lady Who Lied
    The Lady Who Lied is a 1925 American silent drama film notable for its romantic intrigue and direction by filmmaker George Fitzmaurice.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12982eaa08190933d3036c020f562 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:32 p.m.