Triple
T30090039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denis Pagan |
E764703
|
entity |
| Predicate | activeAsCoachInDecade |
P50656
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Denis Pagan, activeAsCoachInDecade, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeAsCoachInDecade Context triple: [Denis Pagan, activeAsCoachInDecade, 1990s]
-
A.
yearsActiveAsCoach
Indicates the span of time, typically in years, during which an individual has served in a coaching role.
-
B.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
C.
isActiveAsCoach
Indicates that an entity is currently functioning in the role of a coach within a given context or organization.
-
D.
activeInDecade
Indicates that an entity was active or engaged in its primary activities during a specified decade.
-
E.
coachingEra
chosen
Indicates the time period during which a particular coach is in charge of a team or individual.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 29, 2026, 7:05 p.m.