Triple
T2427593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude Giroux |
E53566
|
entity |
| Predicate | hasSportDiscipline |
P37610
|
FINISHED |
| Object | ice hockey forward |
—
|
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: ice hockey forward | Statement: [Claude Giroux, hasSportDiscipline, ice hockey forward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportDiscipline Context triple: [Claude Giroux, hasSportDiscipline, ice hockey forward]
-
A.
includesSport
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
-
B.
competedInDiscipline
chosen
Indicates that an entity took part in a competition or event within a specific discipline or category.
-
C.
hasAthletics
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
-
D.
hasRelativeInSport
Indicates that one entity has a family member who participates or is involved in a sport-related activity or profession.
-
E.
representsInSport
Indicates that one entity serves as an official representative of another entity within the context of a particular sport or sporting domain.
- F. None of above.
Provenance (3 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:42 p.m.