Triple

T37337146
Position Surface form Disambiguated ID Type / Status
Subject Nimrod Klein E926923 entity
Predicate secondaryConflict P200425 FINISHED
Object strained family relationships 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: strained family relationships | Statement: [Nimrod Klein, secondaryConflict, strained family relationships]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondaryConflict
Context triple: [Nimrod Klein, secondaryConflict, strained family relationships]
  • A. centralConflictIn
    Indicates that one situation, issue, or opposition serves as the primary source of tension or struggle within another context, such as a story, event, or scenario.
  • B. mainConflict
    Indicates the primary opposing force, problem, or struggle that drives tension and narrative progression between entities or sides.
  • C. secondaryBelligerent
    Indicates that an entity participates in a conflict as a secondary or supporting belligerent rather than as a primary combatant.
  • D. subConflict
    Indicates that one conflict is a component, phase, or subordinate part of a larger overarching conflict.
  • E. subsequentConflict
    Indicates that one conflict occurs after and is temporally subsequent to another conflict.
  • 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_69f76eb4e8a881908bd40da28f36fc7e completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ff891e4b9c8190aa86a339a8944496 completed May 9, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69ff8801180c8190b23e20996ca68e0a completed May 9, 2026, 7:16 p.m.
PDg Predicate description generation batch_69ff891d54248190be8742197564605a completed May 9, 2026, 7:21 p.m.
Created at: May 3, 2026, 4:16 p.m.