Triple
T7417258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major League Baseball pitcher |
E171160
|
entity |
| Predicate | mustFace |
P76839
|
FINISHED |
| Object | at least three batters or finish an inning under current MLB rules |
—
|
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: at least three batters or finish an inning under current MLB rules | Statement: [Major League Baseball pitcher, mustFace, at least three batters or finish an inning under current MLB rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustFace Context triple: [Major League Baseball pitcher, mustFace, at least three batters or finish an inning under current MLB rules]
-
A.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
-
B.
mustTouch
Indicates that the entities are required to be in direct physical contact with each other.
-
C.
mustActIn
Indicates that an entity is required or obligated to perform an action within a specified context, domain, or timeframe.
-
D.
mustRespect
Indicates that one entity is obligated to show respect or deference toward another entity.
-
E.
facedBy
Indicates that one entity is oriented toward and directly opposite another entity, such that it is facing it.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c7ae0c8190a8348d6223aeeecc |
completed | March 27, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1c3307481909a7f6bb69d4fddac |
completed | March 27, 2026, 9:08 p.m. |
Created at: March 27, 2026, 3:11 p.m.