Triple
T7174889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Errol Spence Jr. |
E167293
|
entity |
| Predicate | amateurCareerHighlight |
P72598
|
FINISHED |
| Object | 2012 Olympic Games participant |
—
|
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: 2012 Olympic Games participant | Statement: [Errol Spence Jr., amateurCareerHighlight, 2012 Olympic Games participant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: amateurCareerHighlight Context triple: [Errol Spence Jr., amateurCareerHighlight, 2012 Olympic Games participant]
-
A.
amateurAchievement
chosen
Indicates that an entity has achieved something notable or commendable in a non-professional or hobbyist capacity.
-
B.
amateurCareerRecord
Indicates the win–loss (and possibly draw) record an individual achieved during their amateur-level career in a given activity or sport.
-
C.
notableEventInCareer
Indicates that a particular event is a significant or defining occurrence within an entity’s professional career.
-
D.
beganAmateurCareer
Indicates that an entity started its amateur-level career or involvement in a particular field or activity.
-
E.
careerHits
Indicates the total number of hits a player has accumulated over the course of their entire professional career.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:48 p.m.