Triple
T4415299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davy |
E94954
|
entity |
| Predicate | spellingVariantOf |
P457
|
FINISHED |
| Object | Davey |
E185523
|
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: Davey | Statement: [Davy, spellingVariantOf, Davey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Davey Context triple: [Davy, spellingVariantOf, Davey]
-
A.
Davey
chosen
Davey is a diminutive given name, typically used as a familiar or affectionate form of David.
-
B.
Davo
Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
-
C.
Dougie
Dougie is a familiar diminutive form of the given name Doug, often used as an affectionate nickname.
-
D.
Dickie Greenleaf
Dickie Greenleaf is a wealthy, charismatic American playboy whose carefree lifestyle in Italy becomes the obsession of Tom Ripley in Patricia Highsmith’s novel "The Talented Mr. Ripley" and its film adaptations.
-
E.
Dum Dum Dugan
Dum Dum Dugan is a gruff, mustachioed World War II-era soldier and close ally of Nick Fury in Marvel Comics, renowned for his combat skills and leadership within elite military units.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354eabb2481908ad10d21e1379e7f |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f617012481908b8f1a9a1bc5efaf |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:29 p.m.