Triple
T37975594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Division All-Star |
E947414
|
entity |
| Predicate | includesPositionCategory |
P113097
|
FINISHED |
| Object | quarterback |
—
|
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: quarterback | Statement: [East Division All-Star, includesPositionCategory, quarterback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPositionCategory Context triple: [East Division All-Star, includesPositionCategory, quarterback]
-
A.
includesRankCategory
Indicates that one entity’s set of ranks or classifications contains or encompasses a particular rank category.
-
B.
hasPositionalCategory
Indicates that something is associated with a specific positional classification or category based on its location or arrangement.
-
C.
positionIncluded
Indicates that one position or spatial region is entirely contained within another position or spatial region.
-
D.
containsCategory
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
-
E.
typicalPositionsInclude
chosen
Indicates that certain positions or roles are commonly or characteristically included within something (such as an organization, structure, or 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.