Triple
T25417190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Carle |
E636868
|
entity |
| Predicate | positionGeneral |
P5132
|
FINISHED |
| Object | defenseman |
—
|
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: defenseman | Statement: [Matt Carle, positionGeneral, defenseman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionGeneral Context triple: [Matt Carle, positionGeneral, defenseman]
-
A.
positionOften
Indicates that one entity frequently holds, occupies, or is located at a particular position relative to another entity or context.
-
B.
positionSpecific
Indicates that something applies only at, or is defined with respect to, a particular position or location within a larger structure or sequence.
-
C.
positionA
Indicates the spatial or ordered position of an entity A within a defined reference frame or sequence.
-
D.
positionB
chosen
Indicates that one entity occupies or is located at a specific position relative to another entity.
-
E.
positionRepresented
Indicates that one entity serves as a representation or proxy for a particular position, role, or office held by another entity.
- 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 21, 2026, 1:55 p.m.