Triple
T33787149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerami |
E865822
|
entity |
| Predicate | nameBearersOccupationAssociation |
P170143
|
FINISHED |
| Object | professional basketball players |
—
|
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 basketball players | Statement: [Jerami, nameBearersOccupationAssociation, professional basketball players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameBearersOccupationAssociation Context triple: [Jerami, nameBearersOccupationAssociation, professional basketball players]
-
A.
occupationalAssociation
Indicates a relationship where one entity is connected to another through a job, profession, or work-related role.
-
B.
nameBearerProfession
chosen
Indicates that the person whose name is borne by something has a specific profession or occupational role.
-
C.
commonProfessionAmongBearers
Indicates that multiple entities sharing a given attribute (such as a name or title) are frequently associated with the same profession.
-
D.
namedPersonAssociation
Indicates a relationship where one entity is associated with or identified by a specific personal name.
-
E.
occupationOfAssociatedPerson
Indicates the job or professional role held by a person who is associated with another referenced entity.
- 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_69f3498ecc2c8190bcd85e3f11dc215e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.