Triple
T23219677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Ralston |
E580850
|
entity |
| Predicate | sportingStatus |
P151406
|
FINISHED |
| Object | former player |
—
|
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: former player | Statement: [Steve Ralston, sportingStatus, former player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportingStatus Context triple: [Steve Ralston, sportingStatus, former player]
-
A.
sportsCountStatus
Indicates the status or condition of how many sports-related items or activities are present or counted.
-
B.
footballStatus
Indicates the current state or condition of an entity in the context of football, such as its role, phase, or situation within the game or season.
-
C.
sportingMovement
Indicates a physical action or motion performed as part of a sport or athletic activity.
-
D.
competitionStatus
Indicates the current state or phase of a competition, such as whether it is upcoming, ongoing, paused, or completed.
-
E.
sportContested
Indicates that a particular sport is actively played, competed in, or held as an event between participants or teams.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191675de48190858907872a065c56 |
completed | April 29, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:08 p.m.