Triple
T25293136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Guptill |
E634142
|
entity |
| Predicate | isProfessionalAthlete |
P64063
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Martin Guptill, isProfessionalAthlete, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isProfessionalAthlete Context triple: [Martin Guptill, isProfessionalAthlete, true]
-
A.
isAthlete
Indicates that an entity participates in sports or athletic activities, typically at a competitive or professional level.
-
B.
hasPlayedProfessionalSports
chosen
Indicates that an entity has participated as an athlete in an officially recognized professional-level sports competition or league.
-
C.
hasAthlete
Indicates a relationship where an entity (such as a team, organization, or event) includes or is associated with one or more athletes.
-
D.
formerAthlete
Indicates that a person previously had the role or status of an athlete but no longer does.
-
E.
hasProfessionalLeague
Indicates that an entity is associated with or participates in a recognized professional sports league.
- 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48fcf4bc88190a9ffaa3b07d5b881 |
completed | May 1, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:22 p.m.