Triple

T7888309
Position Surface form Disambiguated ID Type / Status
Subject Baltasar Garzón E183158 entity
Predicate afterJudicialCareer P19158 FINISHED
Object practiced as an international legal consultant 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: practiced as an international legal consultant | Statement: [Baltasar Garzón, afterJudicialCareer, practiced as an international legal consultant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: afterJudicialCareer
Context triple: [Baltasar Garzón, afterJudicialCareer, practiced as an international legal consultant]
  • A. roleAfterRetirement
    Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
  • B. laterCareer chosen
    Indicates that the associated information or events pertain to a later stage or phase in an entity’s professional life or career trajectory.
  • C. heldJudicialPositionIn
    Indicates that an entity served in an official judicial role or office within a specified jurisdiction or court.
  • D. endOfTenure
    Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
  • E. retired
    Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
  • 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_69ca828af6e48190a06ee7010d8f0e64 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39ea8d1c81908ef99569e0cf00b7 completed March 31, 2026, 3:05 a.m.
PD Predicate disambiguation batch_69cae92b0cd881908e715a10d3252e83 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:59 p.m.