Triple
T4671182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collin McKinney |
E102965
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Collin |
E151600
|
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: Collin | Statement: [Collin McKinney, givenName, Collin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collin Context triple: [Collin McKinney, givenName, Collin]
-
A.
Collin
chosen
Collin is a masculine given name, often considered a variant of Colin, used in English-speaking countries.
-
B.
Collen
Collen is a surname most notably associated with Nicki Collen, an American basketball coach.
-
C.
Colton
Colton is a small city in Southern California’s Inland Empire region, located within San Bernardino County.
-
D.
Grayson
Grayson is an unincorporated community located in Stanislaus County, California.
-
E.
Grayson
Grayson is the given name of British artist and Turner Prize winner Grayson Perry, known for his ceramic works and exploration of identity and gender.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63506090819083ff8271adc5ef75 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be039538048190b4075daf47355cee |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:15 p.m.