Triple

T20859878
Position Surface form Disambiguated ID Type / Status
Subject Frank Bledsoe E513586 entity
Predicate mustConfront P47753 FINISHED
Object his past 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: his past | Statement: [Frank Bledsoe, mustConfront, his past]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mustConfront
Context triple: [Frank Bledsoe, mustConfront, his past]
  • A. mustFace
    Indicates that one entity is required or obligated to orient or direct its front side toward another entity or reference point.
  • B. confronts chosen
    Indicates that one entity directly faces and challenges another, often in opposition or dispute.
  • C. helpsCharacterConfront
    Indicates that one character actively supports or enables another character in facing and dealing with a difficult issue, fear, or challenge.
  • D. mustMeet
    Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
  • E. mustTell
    Indicates that one entity is obligated or required to inform or disclose something to another entity.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3aabef4819098f0fd24dcc27dbd completed April 21, 2026, 12:24 a.m.
PD Predicate disambiguation batch_69e5c9a593f481908beb457c29f1ce73 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:44 p.m.