Triple
T18802511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando Tatís Jr. |
E459790
|
entity |
| Predicate | positionHistory |
P65254
|
FINISHED |
| Object | converted to outfield from shortstop at MLB level |
—
|
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: converted to outfield from shortstop at MLB level | Statement: [Fernando Tatís Jr., positionHistory, converted to outfield from shortstop at MLB level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionHistory Context triple: [Fernando Tatís Jr., positionHistory, converted to outfield from shortstop at MLB level]
-
A.
positionOnPast
chosen
Indicates that one entity occupied a specific position or location relative to another entity at some point in the past.
-
B.
historicalPositionStructure
Indicates a relationship where an entity’s role, title, or position is defined within a historically specific organizational or structural context.
-
C.
movementHistory
Indicates a record of how an entity has moved over time, capturing the sequence, timing, and possibly locations of its movements.
-
D.
previousRecordPoints
Indicates that one record directly precedes and connects to another record in a sequence or history.
-
E.
tracksLocation
Indicates that one entity monitors and records the geographic position or movement of another entity over time.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02400208190b1d84e2b0640df08 |
completed | April 20, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.