Triple
T14357622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Pérez |
E356011
|
entity |
| Predicate | teamSuccessRole |
P113911
|
FINISHED |
| Object | offensive leader |
—
|
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: offensive leader | Statement: [Tony Pérez, teamSuccessRole, offensive leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamSuccessRole Context triple: [Tony Pérez, teamSuccessRole, offensive leader]
-
A.
teamNumberRole
Indicates that a specific team, identified by its number, is associated with a particular role or function.
-
B.
teamOwnershipRole
Indicates the specific ownership-related role or capacity an entity holds within a team (such as owner, co-owner, or managing owner).
-
C.
teamAchievement
Indicates that a group of individuals collectively accomplished a shared goal or met a performance milestone.
-
D.
lineupRole
Indicates the specific role or position an entity holds within a lineup or ordered group.
-
E.
unitRole
Indicates the functional role or purpose that a unit serves within a larger system or context.
- F. None of above. chosen
Provenance (4 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69de2a9958e881909d03ac03f135163e |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e8a40e4819080240c874da1842c |
completed | April 14, 2026, 12:09 p.m. |
Created at: April 10, 2026, 1:15 a.m.