Triple
T18000276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Braun |
E430608
|
entity |
| Predicate | batsFourth |
P130081
|
FINISHED |
| Object | often used as cleanup hitter |
—
|
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: often used as cleanup hitter | Statement: [Ryan Braun, batsFourth, often used as cleanup hitter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batsFourth Context triple: [Ryan Braun, batsFourth, often used as cleanup hitter]
-
A.
bats
Indicates that one entity hits or strikes another entity, typically using a bat or similar implement.
-
B.
batsFromSide
Indicates that one entity performs a batting action from a specified side or orientation (e.g., left-handed or right-handed).
-
C.
batsUsed
Indicates that one or more bats are employed or utilized in relation to a particular entity or event.
-
D.
batsOriginStory
Indicates the narrative or circumstances that explain how a bat-themed character or entity first came to be.
-
E.
fourthSingle
Indicates that an entity is the fourth individual item or occurrence in a sequence, considered on its own rather than as part of a group.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e75e908190a6ff6a3ec6069ff5 |
completed | April 19, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:23 a.m.