Triple
T6905913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hobey Baker Award winners |
E159811
|
entity |
| Predicate | typicalCareerPath |
P26658
|
FINISHED |
| Object | professional ice hockey |
—
|
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: professional ice hockey | Statement: [Hobey Baker Award winners, typicalCareerPath, professional ice hockey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCareerPath Context triple: [Hobey Baker Award winners, typicalCareerPath, professional ice hockey]
-
A.
careerPath
chosen
Indicates the progression or sequence of roles, positions, or occupations that an individual follows over time in their professional life.
-
B.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
C.
describesCareerOf
Indicates that one entity provides a description or characterization of the professional career of another entity.
-
D.
careerType
Indicates the kind or category of professional occupation or career path associated with an entity.
-
E.
plannedCareer
Indicates that an individual has chosen and intends to pursue a specific career path.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d98b07f0819093595e958fa0317b |
completed | March 27, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:25 p.m.