Triple
T22700553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deacon Jones |
E561309
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Deacon |
—
|
NE NERFINISHED |
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: Deacon | Statement: [Deacon Jones, nickname, Deacon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deacon Context triple: [Deacon Jones, nickname, Deacon]
-
A.
Deacon
Deacon is the main villain and ruthless leader of the Smokers in the WaterWorld: A Live Sea War Spectacular stunt show.
-
B.
Deacon
chosen
Deacon is the nickname of Hall of Fame NFL defensive end Deacon Jones, renowned as one of the greatest pass rushers in football history.
-
C.
Deacon
Deacon is a surname most notably associated with John Deacon, the bassist of the rock band Queen.
-
D.
Deacon
The Deacon in the context of the Gnostic Mass is a principal liturgical minister who assists the priest and priestess, leads responses, and helps conduct the ceremonial aspects of the ritual.
-
E.
Deacon
Deacon is a small rural community located within the township of Bonnechere Valley in eastern Ontario, Canada.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178ca683c81909f6b4e26b85c99c1 |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:15 p.m.