Triple
T1692677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Esposito |
E36583
|
entity |
| Predicate | primaryTeamTenureStart |
P26144
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [Tony Esposito, primaryTeamTenureStart, 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTeamTenureStart Context triple: [Tony Esposito, primaryTeamTenureStart, 1969]
-
A.
firstYearPlayed
chosen
Indicates the year in which an entity (such as a person or team) first began participating in the specified activity or domain.
-
B.
teamCaptainStartYear
Indicates the year in which an entity first began serving as the captain of a team.
-
C.
primaryTeam
Indicates that one entity is the main or principal team associated with another entity, such as a person, project, or organization.
-
D.
homeTeamSince
Indicates the point in time from which a particular team has been designated as the home team for a given context or venue.
-
E.
teamTenure
Indicates the duration or length of time an entity has been part of a particular team.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69aa61b71cec8190b273588051058ebd |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.