Triple
T13041987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Lysiak |
E327215
|
entity |
| Predicate | numberOf100PointSeasonsInJunior |
P108404
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Tom Lysiak, numberOf100PointSeasonsInJunior, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOf100PointSeasonsInJunior Context triple: [Tom Lysiak, numberOf100PointSeasonsInJunior, 3]
-
A.
scored100PointSeason
Indicates that an entity (typically an athlete) completed a season in which they scored at least 100 points.
-
B.
hasPlayedSeasonWith70PlusPoints
Indicates that an athlete has completed at least one season in which they scored 70 or more points.
-
C.
careerSeasons
Indicates the number or set of seasons during which an entity actively participated in a particular career or professional role.
-
D.
winsInSingleSeason
Indicates that one entity achieves a specified number of wins within a single competitive season.
-
E.
playedForJuniorTeam
Indicates that an individual was a member of and played for a specific junior-level sports team.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
| PDg | Predicate description generation | batch_69d98a9577d081908ddef9ea77e408e2 |
completed | April 10, 2026, 11:41 p.m. |
Created at: April 9, 2026, 8:56 p.m.