Triple
T22049455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Flower |
E544844
|
entity |
| Predicate | odiDismissalsAsKeeper |
P146398
|
FINISHED |
| Object | 173 |
—
|
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: 173 | Statement: [Andy Flower, odiDismissalsAsKeeper, 173]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: odiDismissalsAsKeeper Context triple: [Andy Flower, odiDismissalsAsKeeper, 173]
-
A.
goalkeeperAction
Indicates actions performed by a goalkeeper in the context of defending the goal, such as saving, catching, blocking, or distributing the ball.
-
B.
infringementByGoalkeeperOutcome
Indicates that a rules infringement committed by the goalkeeper has led to a specific recorded outcome or result in the context of play.
-
C.
playerSentOff
Indicates that a player has been dismissed from the game, typically due to a serious rule violation, and is no longer allowed to participate.
-
D.
goalkeeperException
Indicates an exception or special case that applies specifically to a goalkeeper within an otherwise standard rule, condition, or relationship.
-
E.
goalkeeperFaced
Indicates that a goalkeeper encountered and had to respond to a particular shot, attempt, or offensive action during play.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128323fb08190b9592fd08a96cba0 |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:26 p.m.