Triple

T16288494
Position Surface form Disambiguated ID Type / Status
Subject Tosh Angelos E395451 entity
Predicate marriageOrderWithMayaAngelou P122541 FINISHED
Object first 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: first | Statement: [Tosh Angelos, marriageOrderWithMayaAngelou, first]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriageOrderWithMayaAngelou
Context triple: [Tosh Angelos, marriageOrderWithMayaAngelou, first]
  • A. 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).
  • B. marriageOrderWithTonyBennett
    Indicates the ordinal position in which an entity married Tony Bennett relative to his other spouses.
  • C. marriageOrderWithBillyBobThornton
    Indicates the chronological position in which an entity was married to Billy Bob Thornton relative to his other spouses.
  • D. marriageOrderWithBuzzAldrin
    Indicates the sequence or order in which an entity was married relative to Buzz Aldrin’s marriages.
  • E. marriageOrderRelativeToOrsonWelles
    Indicates the position or sequence of a person’s marriage relative to Orson Welles’s own marriages (e.g., earlier, later, or same order).
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e249165af881908ce44c4517c93c12 completed April 17, 2026, 2:52 p.m.
PD Predicate disambiguation batch_69e219f68d308190b71c1601303f0628 completed April 17, 2026, 11:31 a.m.
PDg Predicate description generation batch_69e21e56e0348190a3d9475360231a70 completed April 17, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:05 a.m.