Triple
T4717342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John W. Henry |
E104677
|
entity |
| Predicate | typeOfBusinessActivities |
P35312
|
FINISHED |
| Object | sports franchise ownership |
—
|
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: sports franchise ownership | Statement: [John W. Henry, typeOfBusinessActivities, sports franchise ownership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBusinessActivities Context triple: [John W. Henry, typeOfBusinessActivities, sports franchise ownership]
-
A.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
-
B.
eligibleBusinessType
Indicates that a business entity qualifies under specified criteria to be considered an eligible type for a particular program, rule, or context.
-
C.
notableBusinessType
chosen
Indicates that an entity is notably associated with, characterized by, or best known for a particular type of business.
-
D.
commercialActivity
Indicates an action or relationship involving the buying, selling, or exchange of goods or services for profit or other economic gain.
-
E.
concernsBusinessType
Indicates that something is related or applicable to a particular type or category of business.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd680beb508190b3d74e20e1c64405 |
completed | March 20, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69bd621ddcd88190903288566f5e5dab |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:18 p.m.