Triple
T18215723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Collip |
E436149
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Collip |
—
|
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: Collip | Statement: [James Collip, hasSurname, Collip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collip Context triple: [James Collip, hasSurname, Collip]
-
A.
Collip
chosen
Collip is a surname most notably associated with James Collip, a Canadian biochemist who was part of the team that developed insulin as a treatment for diabetes.
-
B.
Billina
Billina is a talking hen from L. Frank Baum’s Oz series, best known as Dorothy’s sharp-tongued companion in "Ozma of Oz."
-
C.
Misis
Misis is an ancient city in modern-day Turkey, historically known as Mopsuestia, which was an important settlement in the Cilicia region through Hellenistic, Roman, and Byzantine times.
-
D.
Wilella
Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
-
E.
Kohly
Kohly is a residential neighborhood in the Playa municipality of Havana, Cuba, known for its quiet streets and proximity to major city avenues.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e476a6548190bda03190c5f531ad |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.