Triple

T24429158
Position Surface form Disambiguated ID Type / Status
Subject Xander Harris E615942 entity
Predicate weddingStatus P155888 FINISHED
Object wedding called off 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: wedding called off | Statement: [Xander Harris, weddingStatus, wedding called off]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: weddingStatus
Context triple: [Xander Harris, weddingStatus, wedding called off]
  • A. weddingStatusInPilot
    Indicates the marital or wedding-related status of entities specifically within the context of a pilot episode or initial trial scenario.
  • B. marriageType
    Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
  • C. marriageLegalStatus
    Indicates the legal status of a marriage relationship between entities, such as whether it is valid, invalid, pending, or dissolved under applicable law.
  • D. hasCivilStatus
    Indicates the civil or marital status that applies to a person or entity (e.g., single, married, divorced).
  • E. spouseStatusAtMarriage
    Indicates the marital status each partner held at the time their marriage to one another was formed.
  • 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_69e2d7eadb248190a867130fe45f0388 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f296aab8948190b9cb869bab71fb4c completed April 29, 2026, 11:39 p.m.
PD Predicate disambiguation batch_69f287cc4fd4819081e93cc638d9512d completed April 29, 2026, 10:35 p.m.
PDg Predicate description generation batch_69f2915233c48190a181c8c1924e892c completed April 29, 2026, 11:16 p.m.
Created at: April 18, 2026, 2:15 a.m.