Triple
T14993841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Crowley |
E373904
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Joe |
unclear NED1
|
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: Joe | Statement: [Joe Crowley, nickname, Joe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Context triple: [Joe Crowley, nickname, Joe]
-
A.
Joe
Joe is an American R&B singer and songwriter known for his smooth vocals and romantic ballads, particularly popular in the late 1990s and early 2000s.
-
B.
Joe
Joe is a central character in the classic 1959 comedy film "Some Like It Hot," where he is one of two musicians who disguise themselves as women to escape mobsters.
-
C.
Joe
Joe is a character featured in Tom Petty and the Heartbreakers' album "The Last DJ," which critiques the commercialization of the music industry.
-
D.
Joe
Joe is the given name of American actor Joe Spano, known for his roles in television series such as "Hill Street Blues" and "NCIS."
-
E.
Joe
Joe is a notable artwork created by Japanese photographer and artist Hiroshi Sugimoto.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded716ebb481908224d2d4f7561b03 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969a63f081908bf11783e2a51229 |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:53 a.m.