Triple
T21990875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athlead |
E543081
|
entity |
| Predicate | hasFictionalBusinessModel |
P121895
|
FINISHED |
| Object | representing professional athletes |
—
|
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: representing professional athletes | Statement: [Athlead, hasFictionalBusinessModel, representing professional athletes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalBusinessModel Context triple: [Athlead, hasFictionalBusinessModel, representing professional athletes]
-
A.
hasFictionalBusinessType
chosen
Indicates that an entity is associated with a type or category of fictional business it operates or represents.
-
B.
hasFictionalProduct
Indicates a relationship where one entity features, offers, or includes a product that exists only in fiction or an imagined context.
-
C.
hasFictionalEconomicActivity
Indicates that an entity is involved in an economic activity that exists only in a fictional or imaginary context.
-
D.
hasFictionalProprietor
Indicates that something is owned, managed, or run by a fictional character or entity within a narrative context.
-
E.
hasFictionalForm
Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270d7cbc819086eea86be04a2ec0 |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:05 p.m.