Triple
T8006105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier League Playmaker of the Season |
E186366
|
entity |
| Predicate | seasonSpan |
P80523
|
FINISHED |
| Object | August to May (typical Premier League season) |
—
|
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: August to May (typical Premier League season) | Statement: [Premier League Playmaker of the Season, seasonSpan, August to May (typical Premier League season)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonSpan Context triple: [Premier League Playmaker of the Season, seasonSpan, August to May (typical Premier League season)]
-
A.
seasonYears
Indicates the span of calendar years during which a particular season (e.g., of a show, competition, or activity) takes place or is valid.
-
B.
livedDuring
Indicates that the subject existed or was alive at some point within the time period or lifespan associated with the object.
-
C.
movementYear
Indicates the year in which a movement, relocation, or transfer of an entity took place.
-
D.
recordedBetween
Indicates that an event or data item was recorded at a time that falls within a specified start and end time interval.
-
E.
yearDescribedAs
Indicates the specific year in which something was formally characterized, documented, or described.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf72fc08190aa78b97c1ab92f90 |
completed | March 31, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:18 p.m.