Triple

T4177730
Position Surface form Disambiguated ID Type / Status
Subject Conservation International E86516 entity
Predicate roleOfM. Sanjayan P54238 FINISHED
Object Chief Executive 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: Chief Executive Officer | Statement: [Conservation International, roleOfM. Sanjayan, Chief Executive Officer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleOfM. Sanjayan
Context triple: [Conservation International, roleOfM. Sanjayan, Chief Executive Officer]
  • A. monarchRole
    Indicates that an entity holds or is assigned the role, office, or position of a monarch in relation to a state or domain.
  • B. notableSpeciesRole
    Indicates that a species plays a particularly important, characteristic, or influential role in relation to another entity or context.
  • C. landscapeRole
    Indicates the functional or symbolic role that an entity plays within a particular landscape or environmental setting.
  • D. roleInvolves
    Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
  • E. designedRole
    Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af07078cb081909f64326b12522410 completed March 9, 2026, 5:44 p.m.
PD Predicate disambiguation batch_69af019155448190b19868583272513f completed March 9, 2026, 5:21 p.m.
PDg Predicate description generation batch_69af07059d288190a1ea79449414fbce completed March 9, 2026, 5:44 p.m.
Created at: March 9, 2026, 3:45 p.m.