Triple
T2463339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Bautista |
E54583
|
entity |
| Predicate | batFlip |
P39990
|
FINISHED |
| Object | widely cited as one of the most famous celebrations in MLB postseason history |
—
|
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: widely cited as one of the most famous celebrations in MLB postseason history | Statement: [José Bautista, batFlip, widely cited as one of the most famous celebrations in MLB postseason history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batFlip Context triple: [José Bautista, batFlip, widely cited as one of the most famous celebrations in MLB postseason history]
-
A.
fly
Indicates movement through the air, typically by using wings or an aircraft, from one location to another.
-
B.
bats
Indicates that one entity hits or strikes another entity, typically using a bat or similar implement.
-
C.
flightAbility
Indicates the capability or potential of an entity to fly or engage in powered or unpowered aerial movement.
-
D.
fallsIn
Indicates that one entity is located within, contained by, or geographically/administratively included inside another entity.
-
E.
fliesOn
Indicates that an entity travels as a passenger or cargo aboard a particular aircraft, airline, or flight.
- F. None of above. chosen
Provenance (4 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:44 p.m.