Triple

T1320946
Position Surface form Disambiguated ID Type / Status
Subject Brandon Roy E28215 entity
Predicate reasonForRetirement P10984 FINISHED
Object degenerative knee problems 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: degenerative knee problems | Statement: [Brandon Roy, reasonForRetirement, degenerative knee problems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForRetirement
Context triple: [Brandon Roy, reasonForRetirement, degenerative knee problems]
  • A. causeOfEarlyRetirement chosen
    Indicates that one entity is the reason or contributing factor leading another entity to retire earlier than the typical or expected time.
  • B. reasonForLeaving
    Indicates the cause, motivation, or circumstance that led an entity to depart or discontinue an association, position, or place.
  • C. plannedRetirement
    Indicates that an entity has scheduled or intends to end its active role or service at a specified future time.
  • D. retired
    Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
  • E. roleAfterRetirement
    Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19932888190a3d45871e84f112e completed March 1, 2026, 10:45 p.m.
PD Predicate disambiguation batch_69a4beedb49c8190beb5b85cdda05013 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:55 p.m.