Triple
T2682708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DiDi Richards |
E57410
|
entity |
| Predicate | hasSportRole |
P22493
|
FINISHED |
| Object | guard |
—
|
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: guard | Statement: [DiDi Richards, hasSportRole, guard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportRole Context triple: [DiDi Richards, hasSportRole, guard]
-
A.
hasAthlete
Indicates a relationship where an entity (such as a team, organization, or event) includes or is associated with one or more athletes.
-
B.
hasSportsStatus
chosen
Indicates that an entity holds a particular sports-related status, role, or classification (such as amateur, professional, active, or retired) within a sporting context.
-
C.
hasRelativeInSport
Indicates that one entity has a family member who participates or is involved in a sport-related activity or profession.
-
D.
sportingRoleRecognised
Indicates that a particular sporting role or position has been formally acknowledged or accepted as valid within a given context or system.
-
E.
includesSport
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d602848190b638e417e710a555 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.