Triple
T1464803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Wakefield |
E31595
|
entity |
| Predicate | originalPosition |
P6869
|
FINISHED |
| Object | first baseman |
—
|
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: first baseman | Statement: [Tim Wakefield, originalPosition, first baseman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPosition Context triple: [Tim Wakefield, originalPosition, first baseman]
-
A.
originalSeat
Indicates the seat that was initially assigned or occupied before any changes, moves, or reassignments occurred.
-
B.
primaryPosition
chosen
Indicates the main role, job, or position an entity holds among potentially multiple positions.
-
C.
positionA
Indicates the spatial or ordered position of an entity A within a defined reference frame or sequence.
-
D.
originalDestination
Indicates the initial or intended destination associated with an entity before any changes, rerouting, or redirection occur.
-
E.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ba2d5c81909ee85713de961fcb |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48121e48190946c23c583e5fb64 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.