Triple
T22463408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boland |
E555286
|
entity |
| Predicate | professionalRepresentation |
P148306
|
FINISHED |
| Object | Stormers franchise |
—
|
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: Stormers franchise | Statement: [Boland, professionalRepresentation, Stormers franchise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalRepresentation Context triple: [Boland, professionalRepresentation, Stormers franchise]
-
A.
professionalBrand
Indicates a relationship where an entity represents or embodies the professional identity, image, or market positioning of another entity.
-
B.
professionalWins
Indicates that one entity has achieved a certain number of victories or successes in a professional context, such as in a career, competition, or formal domain.
-
C.
professionalName
Indicates the formal name or title an entity uses in a professional or occupational context.
-
D.
professionalBody
Indicates that an entity is a formal organization that represents, regulates, or supports members of a particular profession.
-
E.
professionalSince
Indicates the point in time when an entity began its professional activity or career in a given role or field.
- F. None of above. chosen
Provenance (4 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b819d24819084e9b1a7c596345a |
completed | April 29, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:48 p.m.