Triple
T10978199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fletcher Cox |
E259426
|
entity |
| Predicate | hasPositionGroup |
P29748
|
FINISHED |
| Object | defensive line |
—
|
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: defensive line | Statement: [Fletcher Cox, hasPositionGroup, defensive line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositionGroup Context triple: [Fletcher Cox, hasPositionGroup, defensive line]
-
A.
positionGroup
chosen
Indicates a grouping relationship where multiple positions or roles are collectively associated or organized under a common group.
-
B.
hasPositionsFor
Indicates that one entity offers or contains available roles, jobs, or positions for another entity.
-
C.
hasGroupStructure
Indicates that the related entities together form an algebraic group under a specified operation, satisfying closure, associativity, identity, and invertibility.
-
D.
hasObjectGroup
Indicates that an entity is associated with a specific group or collection of objects treated as a single unit.
-
E.
hasAssociatedPosition
Indicates that one entity is linked to a specific role, job, or spatial/organizational position associated with it.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f6a9448190b3932ee801ae0da9 |
completed | April 9, 2026, 9:31 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.