Triple

T9618066
Position Surface form Disambiguated ID Type / Status
Subject John Boehner E232267 entity
Predicate leadershipStyleReputation P25067 FINISHED
Object pragmatic conservative 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: pragmatic conservative | Statement: [John Boehner, leadershipStyleReputation, pragmatic conservative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: leadershipStyleReputation
Context triple: [John Boehner, leadershipStyleReputation, pragmatic conservative]
  • A. hasTypeOfLeadership chosen
    Indicates that an entity possesses or is characterized by a specific style or form of leadership.
  • B. leadershipContext
    Indicates the situational or organizational setting in which leadership is exercised or expressed between entities.
  • C. resultOfLeadership
    Indicates that something occurs or exists as a consequence or outcome of a particular leadership action, style, or decision.
  • D. refersToPersonReputation
    Indicates that something is about, concerns, or makes reference to a particular person's reputation.
  • E. influentialLeader
    Indicates that an entity holds a leadership role that significantly shapes, guides, or impacts the actions, opinions, or outcomes of others.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9aaf3a088190a00a7750c25b6c42 completed April 1, 2026, 10:22 p.m.
PD Predicate disambiguation batch_69ccd5aa1d2c8190a287bf1cf4a3037e completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:09 p.m.