Triple

T3371769
Position Surface form Disambiguated ID Type / Status
Subject A Liar’s Autobiography E70970 entity
Predicate titleWordplay P36401 FINISHED
Object reference to lying and autobiography LITERAL 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: reference to lying and autobiography | Statement: [A Liar’s Autobiography, titleWordplay, reference to lying and autobiography]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: titleWordplay
Context triple: [A Liar’s Autobiography, titleWordplay, reference to lying and autobiography]
  • A. titleMeaning
    Indicates that one entity expresses or explains the meaning, significance, or interpretation of another entity’s title.
  • B. isPlayOnWordsWith
    Indicates a relationship where one expression is a pun or wordplay that depends on, echoes, or cleverly twists the wording or meaning of another expression.
  • C. titlePhrase
    Indicates that one entity is a phrase functioning as the title or name of another entity.
  • D. titleAlludesTo
    Indicates that one title makes an indirect or suggestive reference to the content, theme, or another work associated with the other.
  • E. hasTitlePun chosen
    Indicates that an entity’s title involves a pun or wordplay, typically combining multiple meanings or sounds for humorous or clever effect.
  • F. None of above.

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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bc9bc881908b22edd631a1c110 completed March 8, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69ada433059881908e46f38cc5f40a32 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:13 p.m.