Triple
T19044365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleo Hill Sr. |
E466090
|
entity |
| Predicate | Cleo Hill Jr. occupation |
P52180
|
FINISHED |
| Object | basketball coach |
—
|
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: basketball coach | Statement: [Cleo Hill Sr., Cleo Hill Jr. occupation, basketball coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Cleo Hill Jr. occupation Context triple: [Cleo Hill Sr., Cleo Hill Jr. occupation, basketball coach]
-
A.
roleOfJimCrowley
Indicates that the specified role or position is held or performed by Jim Crowley.
-
B.
sonOccupation
chosen
Indicates that a specified occupation is the job or professional role held by a person's son.
-
C.
Jack Hively
Indicates a relationship or action involving the person named Jack Hively, such as authorship, direction, or participation in a work or event.
-
D.
notableHolderOccupation
Indicates that a person notably associated with an entity (e.g., an award, office, or title) held a particular occupation or professional role.
-
E.
Russell Thompkins Jr. role
Indicates that Russell Thompkins Jr. holds or held a particular role, position, or function in relation to another entity or context.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d802a75c8190a4ce45e5fbffc1b7 |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.