Triple
T3489602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casey Stengel |
E73693
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Casey |
E254326
|
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 Stengel, nickname, Casey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casey Context triple: [Casey Stengel, nickname, Casey]
-
A.
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."
-
B.
Casey
chosen
Casey is an Australian Antarctic research station located in the Australian Antarctic Territory.
-
C.
Casey
Casey is a common Irish-origin surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
-
D.
Casey Cole
Casey Cole is one of the children of legendary American jazz pianist and singer Nat King Cole.
-
E.
Casey Connor
Casey Connor is the shy, observant high school student who becomes an unlikely hero in the sci-fi horror film "The Faculty."
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb94190c8190a81eb41042e51a00 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373bb0e00819087899a394f50295d |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:18 p.m.