Triple
T13435401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Bowman |
E320215
|
entity |
| Predicate | coachedAthleteToAchievement |
P98178
|
FINISHED |
| Object | Michael Phelps 8 gold medals at 2008 Beijing Olympics |
—
|
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: Michael Phelps 8 gold medals at 2008 Beijing Olympics | Statement: [Bob Bowman, coachedAthleteToAchievement, Michael Phelps 8 gold medals at 2008 Beijing Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedAthleteToAchievement Context triple: [Bob Bowman, coachedAthleteToAchievement, Michael Phelps 8 gold medals at 2008 Beijing Olympics]
-
A.
coachedAthletesAt
Indicates a relationship where a coach has trained or instructed athletes at a particular organization, team, or location.
-
B.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
C.
coachedStarPlayer
chosen
Indicates that one entity served as the coach or trainer of another entity who is considered a star player.
-
D.
medalWonAsCoach
Indicates that an individual has won a medal in the role of a coach rather than as a competitor.
-
E.
influencedByCoach
Indicates that an entity’s performance, behavior, or development is affected or shaped by the guidance or actions of a coach.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.