Triple

T36362821
Position Surface form Disambiguated ID Type / Status
Subject Paxton E895539 entity
Predicate facesConflictType P1397 FINISHED
Object life-or-death struggle 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: life-or-death struggle | Statement: [Paxton, facesConflictType, life-or-death struggle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: facesConflictType
Context triple: [Paxton, facesConflictType, life-or-death struggle]
  • A. facesConflictWith
    Indicates that one entity is in opposition, dispute, or contention with another, involving incompatible goals, interests, or actions.
  • B. featuresConflictType
    Indicates that there is a specific type or category of conflict between the features or characteristics of the related entities.
  • C. conflictType chosen
    Indicates the specific kind or category of conflict that characterizes the relationship or interaction between entities.
  • D. framesConflictAs
    Indicates that one entity presents or interprets a situation, issue, or interaction specifically in terms of conflict or opposition between parties.
  • E. holderConflict
    Indicates a relationship where the current holder or possessor of something is in conflict or dispute over that holding, such as ownership, control, or rights.
  • 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_69f76e5044248190b390d8887dc03254 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bb3ff1b08190802b1063d55d3923 completed May 3, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69f7b9a611a081908dd6aec1df3f4d7f completed May 3, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:10 p.m.