Triple
T16047375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Green |
E389257
|
entity |
| Predicate | stateOfOriginRole |
P121759
|
FINISHED |
| Object | Queensland head coach 2021 |
—
|
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: Queensland head coach 2021 | Statement: [Paul Green, stateOfOriginRole, Queensland head coach 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateOfOriginRole Context triple: [Paul Green, stateOfOriginRole, Queensland head coach 2021]
-
A.
stateOfOriginDebut
Indicates the event or match in which an individual first appeared in a State of Origin representative context.
-
B.
roleInNigeria
Indicates that an entity holds or has held a specific role, position, or function within the context of Nigeria.
-
C.
stateOfNigeria
Indicates that the subject is the sovereign nation-state known as Nigeria or pertains to it as a political entity.
-
D.
stateOfOriginAppearances
Indicates the number of times an entity has appeared in state-of-origin level events or competitions.
-
E.
stateOfOriginDebutFor
Indicates that an entity made its first appearance or debut in a State of Origin event, team, or series for a specified side or jurisdiction.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:56 a.m.