Triple
T17065937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baker Dill |
E414088
|
entity |
| Predicate | notableCatchPursuit |
P5909
|
FINISHED |
| Object | giant tuna named Justice |
—
|
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: giant tuna named Justice | Statement: [Baker Dill, notableCatchPursuit, giant tuna named Justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCatchPursuit Context triple: [Baker Dill, notableCatchPursuit, giant tuna named Justice]
-
A.
notableCatcher
Indicates that the person is recognized as a prominent or distinguished catcher, typically in a sporting or professional context.
-
B.
notableCapture
Indicates that one entity captured or seized another in a way considered historically or contextually significant.
-
C.
catches
chosen
Indicates that one entity successfully seizes, intercepts, or takes hold of another entity, often stopping its motion or preventing its escape.
-
D.
notableTheft
Indicates that an entity is involved in a theft event that is widely recognized or significant in some notable way.
-
E.
notableAttempt
Indicates that an entity made a significant or noteworthy effort to perform or achieve another entity or outcome.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db8171348190ab68d2e4f05f7120 |
completed | April 18, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.