Triple

T3232375
Position Surface form Disambiguated ID Type / Status
Subject John Warner E67768 entity
Predicate marriageEndWithElizabethTaylor P45711 FINISHED
Object 1982 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: 1982 | Statement: [John Warner, marriageEndWithElizabethTaylor, 1982]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriageEndWithElizabethTaylor
Context triple: [John Warner, marriageEndWithElizabethTaylor, 1982]
  • A. marriageCountWithElizabethTaylor
    Indicates the number of separate marriages an individual has had with Elizabeth Taylor.
  • B. marriageToCharlieChaplinEnd
    Indicates the point or event at which a marriage to Charlie Chaplin comes to an end (e.g., through divorce, annulment, or death).
  • C. endTime (marriage to Joséphine)
    Indicates the point in time at which the marriage to Joséphine legally or formally ended.
  • D. endTime (spouse Edward VIII)
    Indicates the time at which the marital relationship with Edward VIII concluded.
  • E. marriedToNotablePerson
    Indicates that a person is legally married to another individual who is widely recognized or notable.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaedb718c8190aae12f763033713a completed March 8, 2026, 5:16 p.m.
PD Predicate disambiguation batch_69ad9e0dc2248190a38c40f4e06cd41c completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada0f9d5748190a405c89ec8f30264 completed March 8, 2026, 4:16 p.m.
Created at: March 8, 2026, 3:08 p.m.