Triple
T12370342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kadeisha Buchanan |
E294982
|
entity |
| Predicate | playsInDefensivePosition |
P87906
|
FINISHED |
| Object | centre-back |
—
|
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: centre-back | Statement: [Kadeisha Buchanan, playsInDefensivePosition, centre-back]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsInDefensivePosition Context triple: [Kadeisha Buchanan, playsInDefensivePosition, centre-back]
-
A.
defensivePositionHeldBy
chosen
Indicates that a specific defensive position or role is occupied or maintained by a particular entity.
-
B.
defensiveRole
Indicates that an entity serves a protective or guarding function in relation to another entity or context.
-
C.
usedDefensiveLine
Indicates that an entity employed or deployed a particular defensive line as part of its strategy or actions.
-
D.
defensiveTackle
Indicates that an entity plays the defensive tackle position, typically lining up on the interior of the defensive line to disrupt offensive plays.
-
E.
defensiveSkillEmphasized
Indicates that particular focus or priority is placed on developing or utilizing defensive skills in the relevant 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.