Triple

T12248027
Position Surface form Disambiguated ID Type / Status
Subject Susan Crow E291900 entity
Predicate marriageOrderWithTonyBennett P103715 FINISHED
Object third wife 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: third wife | Statement: [Susan Crow, marriageOrderWithTonyBennett, third wife]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriageOrderWithTonyBennett
Context triple: [Susan Crow, marriageOrderWithTonyBennett, third wife]
  • A. marriageOrderWithBillyBobThornton
    Indicates the chronological position in which an entity was married to Billy Bob Thornton relative to his other spouses.
  • B. marriageOrderRelativeToHattieMcDaniel
    Indicates the position or sequence of a person’s marriage relative to Hattie McDaniel’s own marriages (e.g., before, after, or in comparison to a specific marriage of hers).
  • C. marriageOrderWithClaudeRains
    Indicates the sequence or order in which an entity entered into marriage with Claude Rains relative to his other spouses.
  • D. marriageOrderToClarkGable
    Indicates the chronological position in which an entity married Clark Gable relative to his other spouses.
  • E. marriageFormedBy
    Indicates that a marriage relationship was created or brought into existence by a specific event, action, or process.
  • F. None of above. chosen

Provenance (4 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d38ee10819093ed41d2954bf4ef completed April 10, 2026, 3:54 p.m.
PD Predicate disambiguation batch_69d91c46dcd88190a263db30804bff36 completed April 10, 2026, 3:50 p.m.
PDg Predicate description generation batch_69d91d3654208190a2e0487dfa1d54da completed April 10, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:51 p.m.