Triple
T2463428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cito Gaston |
E54585
|
entity |
| Predicate | finalSeasonAsManager |
P39992
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Cito Gaston, finalSeasonAsManager, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalSeasonAsManager Context triple: [Cito Gaston, finalSeasonAsManager, 2010]
-
A.
totalSeasonsManaged
Indicates the total number of seasons during which an entity has managed another entity (such as a team, organization, or project).
-
B.
wonAsManager
Indicates that one entity achieved a victory or title while serving in the role of manager of the other entity.
-
C.
postseasonAppearancesAsManager
Indicates the number of times an individual has led a team to the postseason in the role of manager.
-
D.
playedForManager
Indicates that one person was a player on a team that was managed or coached by another person.
-
E.
headCoachEnd
Indicates the point in time or event at which an entity’s role or tenure as a head coach comes to an end.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:44 p.m.