Triple

T4472617
Position Surface form Disambiguated ID Type / Status
Subject de Chomedey E98528 entity
Predicate associatedWithRoleOfBearer P34346 FINISHED
Object French military officer 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: French military officer | Statement: [de Chomedey, associatedWithRoleOfBearer, French military officer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithRoleOfBearer
Context triple: [de Chomedey, associatedWithRoleOfBearer, French military officer]
  • A. associatedWithRealm
    Indicates a relationship where an entity is linked or connected to a particular realm, domain, or sphere of influence.
  • B. associatedWithStationRole
    Indicates that an entity has a connection or involvement with a specific role or function at a station.
  • C. supportsRole
    Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to perform or occupy a specific role.
  • D. bindingAuthorityFor
    Indicates that one entity has the legal or formal power to create obligations or make decisions that are binding on another entity.
  • E. typicalBearers chosen
    Indicates that certain entities are the usual or characteristic holders, users, or possessors of a given property, role, or attribute.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356fb69a0819099f0005779f4fcac completed March 13, 2026, 12:14 a.m.
PD Predicate disambiguation batch_69b3563bf4f8819081726cde3a34460b completed March 13, 2026, 12:11 a.m.
Created at: March 12, 2026, 11:35 p.m.