Triple
T8151656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michu |
E190346
|
entity |
| Predicate | scoredDoubleFiguresInLeagueSeason |
P80838
|
FINISHED |
| Object | 2012–13 Premier League |
—
|
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: 2012–13 Premier League | Statement: [Michu, scoredDoubleFiguresInLeagueSeason, 2012–13 Premier League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoredDoubleFiguresInLeagueSeason Context triple: [Michu, scoredDoubleFiguresInLeagueSeason, 2012–13 Premier League]
-
A.
scored100PointSeason
Indicates that an entity (typically an athlete) completed a season in which they scored at least 100 points.
-
B.
scoredGoalSeason
Indicates that an entity scored a goal during a specified season.
-
C.
seasonAveragedTripleDouble
Indicates that an entity (typically a player) achieved a triple-double average over the course of an entire season.
-
D.
hasPlayedSeasonWith70PlusPoints
Indicates that an athlete has completed at least one season in which they scored 70 or more points.
-
E.
scored70PointsInSingleGame
Indicates that an entity achieved a total of 70 points in a single game or match.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4483799c81908e73f9a87ed99185 |
completed | March 31, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39ba412881908a053e88f29a9588 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:37 p.m.