Triple
T35464364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvain Turgeon |
E1025023
|
entity |
| Predicate | scored20GoalSeasons |
P183375
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Sylvain Turgeon, scored20GoalSeasons, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scored20GoalSeasons Context triple: [Sylvain Turgeon, scored20GoalSeasons, yes]
-
A.
scoredGoalSeason
Indicates that an entity scored a goal during a specified season.
-
B.
scored30GoalsInSeason
Indicates that an entity (typically an athlete) achieved a total of 30 goals during a single competitive season.
-
C.
seasonGoalsRecordSeason
Indicates the specific season in which a particular season goals record was achieved or is valid.
-
D.
scored50GoalsInASeason
Indicates that an entity (typically an athlete) achieved a total of 50 goals within a single season.
-
E.
singleSeasonGoalsHigh
Indicates that an entity achieved a notably high number of goals within a single season.
- 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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f7340e4819092a1a47f7028e63f |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79ec14ce08190b22cee0b40d33743 |
completed | May 3, 2026, 7:15 p.m. |
Created at: May 3, 2026, 4:04 p.m.