Triple
T488548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darrell Green |
E9933
|
entity |
| Predicate | primaryTeamTenure |
P8422
|
FINISHED |
| Object | 1983–2002 |
—
|
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: 1983–2002 | Statement: [Darrell Green, primaryTeamTenure, 1983–2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTeamTenure Context triple: [Darrell Green, primaryTeamTenure, 1983–2002]
-
A.
primaryTeam
Indicates that one entity is the main or principal team associated with another entity, such as a person, project, or organization.
-
B.
headCoachTenure
Indicates the duration or period during which a specific individual serves as the head coach of a team or organization.
-
C.
nflTeamTenure
chosen
Indicates the period of time that an individual was a member of a specific NFL team.
-
D.
establishedInLeague
Indicates that an entity (such as a team or club) was founded or formally created while participating in, or as part of, a particular league.
-
E.
leagueEntryYear
Indicates the year in which an entity first entered or joined a particular 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0df764481909811d9483dfbc4aa |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf63fbc819090ea6ca11f39116a |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.