Triple
T1403473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cory |
E31637
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Corey |
E31637
|
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: Corey | Statement: [Cory, hasSpellingVariant, Corey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corey Context triple: [Cory, hasSpellingVariant, Corey]
-
A.
Corey Palent
Corey Palent is a television producer best known for serving as an executive producer of the daytime talk program "The Jennifer Hudson Show."
-
B.
Cory
chosen
Cory is a masculine given name commonly used in English-speaking countries, often as a short form of names like Corey or Cornelius.
-
C.
Corey Reynolds
Corey Reynolds is an American actor best known for his role as Detective Sergeant David Gabriel on the television crime drama series "The Closer."
-
D.
Dustin
Dustin is a masculine given name commonly used in English-speaking countries.
-
E.
Nathan Maloney
Nathan Maloney is a central teenage character in the British TV drama "Queer as Folk," known for exploring his sexuality and identity within Manchester’s gay scene.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3a0330c8190b22452d29c79fcf4 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08ac24948190b85c8e38b34509c9 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 7:59 p.m.