Triple
T24706500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Taumalolo |
E611905
|
entity |
| Predicate | representedJuniorLevel |
P8948
|
FINISHED |
| Object | Junior Kiwis |
—
|
NE NERFINISHED |
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: Junior Kiwis | Statement: [Jason Taumalolo, representedJuniorLevel, Junior Kiwis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedJuniorLevel Context triple: [Jason Taumalolo, representedJuniorLevel, Junior Kiwis]
-
A.
representsInJuniorCategory
Indicates that an entity serves as a representative or participant in a junior-level category within a given context or organization.
-
B.
juniorLevelEvent
Indicates that an event is classified as being at a junior or entry level in terms of required experience or seniority.
-
C.
representedAgeLevel
Indicates that one entity corresponds to, or is categorized under, a particular age level or age group.
-
D.
playedForJuniorTeam
chosen
Indicates that an individual was a member of and played for a specific junior-level sports team.
-
E.
hasJuniorAgeCategory
Indicates that an entity is associated with, or classified under, a junior age category within a given context or system.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 3:24 a.m.