Triple
T14119369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casey at the Bat |
E339864
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Casey |
E1080522
|
NE 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: Casey | Statement: [Casey at the Bat, mainCharacter, Casey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casey Context triple: [Casey at the Bat, mainCharacter, Casey]
-
A.
Casey
Casey is an Australian Antarctic research station located in the Australian Antarctic Territory.
-
B.
Casey
chosen
Casey is the fictional star baseball player whose dramatic final at-bat is the focus of the classic American poem "Casey at the Bat."
-
C.
Casey
Casey is the given name of American actor and filmmaker Casey Affleck, known for his roles in films such as "Manchester by the Sea."
-
D.
Casey
Casey is a witty, outspoken best friend character in the romantic comedy film "27 Dresses," known for providing comic relief and candid advice to the protagonist.
-
E.
Casey
Casey is a small city located in Guthrie County in the state of Iowa, United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de609322ac8190bb389ca250882af5 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf0641008190b88efacc02ba5314 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:22 p.m.