Triple
T22107685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Cousy Award |
E546328
|
entity |
| Predicate | eligibilityPosition |
P22726
|
FINISHED |
| Object | point guard |
—
|
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: point guard | Statement: [Bob Cousy Award, eligibilityPosition, point guard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibilityPosition Context triple: [Bob Cousy Award, eligibilityPosition, point guard]
-
A.
positionEligible
chosen
Indicates that an entity is qualified or permitted to hold or be assigned to a particular position or role.
-
B.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
C.
eligibility
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
D.
eligibilityContext
Indicates the situational or conditional factors under which an entity qualifies for or is considered eligible for something.
-
E.
eligibilityProcess
Indicates the procedure or set of criteria used to determine whether an entity qualifies for a particular status, benefit, or participation.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291adc74819092c7753bb6f3768d |
completed | April 28, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:30 p.m.