Triple
T13614092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Chouinard |
E325266
|
entity |
| Predicate | scored50GoalsInASeason |
P110425
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Guy Chouinard, scored50GoalsInASeason, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scored50GoalsInASeason Context triple: [Guy Chouinard, scored50GoalsInASeason, true]
-
A.
scored30GoalsInSeason
Indicates that an entity (typically an athlete) achieved a total of 30 goals during a single competitive season.
-
B.
consecutive50GoalSeasons
Indicates that an entity has achieved 50 or more goals in each of multiple consecutive seasons.
-
C.
mostGoalsInSingleGamePlayer
Indicates the player who scored the highest number of goals in a single game.
-
D.
topGoalScorerGoals
Indicates the number of goals scored by the top goal scorer in a given context or competition.
-
E.
isProlificGoalScorer
Indicates that an entity consistently scores a high number of goals, marking them as notably productive or effective in goal scoring.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbbb8c77dc8190b7bd803b5e168d23 |
completed | April 12, 2026, 3:34 p.m. |
Created at: April 9, 2026, 9:50 p.m.