Triple
T24417571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FWA Footballer of the Year 2016–17 |
E615628
|
entity |
| Predicate | alsoRecognisedPerformanceIn |
P109753
|
FINISHED |
| Object | domestic English competitions |
—
|
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: domestic English competitions | Statement: [FWA Footballer of the Year 2016–17, alsoRecognisedPerformanceIn, domestic English competitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoRecognisedPerformanceIn Context triple: [FWA Footballer of the Year 2016–17, alsoRecognisedPerformanceIn, domestic English competitions]
-
A.
vocalPerformanceNotedFor
Indicates that a particular vocal performance is recognized or distinguished for a specific quality, feature, or characteristic.
-
B.
performsMusicIn
Indicates that an entity presents or plays music within a particular venue, event, or context.
-
C.
wasRecognizedIn
chosen
Indicates that an entity received acknowledgment, credit, or an award within a specified context, event, or time frame.
-
D.
notablePerformanceYear
Indicates the year in which an entity delivered a particularly significant or distinguished performance.
-
E.
performances
Indicates that an entity stages, presents, or executes artistic or entertainment events for an audience.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29587b2308190907886b82d8c5129 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:13 a.m.