Triple

T16008374
Position Surface form Disambiguated ID Type / Status
Subject Sharpe family E388274 entity
Predicate familySecret P99129 FINISHED
Object incestuous relationship between Thomas and Lucille Sharpe 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: incestuous relationship between Thomas and Lucille Sharpe | Statement: [Sharpe family, familySecret, incestuous relationship between Thomas and Lucille Sharpe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: familySecret
Context triple: [Sharpe family, familySecret, incestuous relationship between Thomas and Lucille Sharpe]
  • A. familySecretInvolves chosen
    Indicates that a particular family secret concerns, affects, or is about the specified entity or entities.
  • B. secretes
    Indicates that one entity produces and releases a substance from within itself into its surrounding environment or another entity.
  • C. revealedSecretOf
    Indicates that one entity has disclosed or exposed confidential or previously unknown information belonging to another entity.
  • D. keepsSecretAbout
    Indicates that one entity intentionally withholds or conceals information regarding another specified entity or topic from others.
  • E. secretRevealedThrough
    Indicates that a secret becomes known or disclosed by means of a specified channel, method, or intermediary.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e173b3bf6c81909230170e833d7ce7 completed April 16, 2026, 11:41 p.m.
PD Predicate disambiguation batch_69e142dc081c819082527e3fa8773460 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:55 a.m.