Triple
T31676650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankie Frisch |
E808416
|
entity |
| Predicate | batsFromBothSides |
P41780
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Frankie Frisch, batsFromBothSides, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batsFromBothSides Context triple: [Frankie Frisch, batsFromBothSides, true]
-
A.
batsFromSide
chosen
Indicates that one entity performs a batting action from a specified side or orientation (e.g., left-handed or right-handed).
-
B.
batsAgainst
Indicates that one participant serves as the batter facing another participant as the opposing pitcher in a baseball matchup.
-
C.
bats
Indicates that one entity hits or strikes another entity, typically using a bat or similar implement.
-
D.
batsUsed
Indicates that one or more bats are employed or utilized in relation to a particular entity or event.
-
E.
batsOriginStory
Indicates the narrative or circumstances that explain how a bat-themed character or entity first came to be.
- 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:03 p.m.