Triple
T22840477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collett |
E566065
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Collet
Collet is a surname and given name of French origin, borne by various notable individuals across fields such as politics, arts, and science.
|
E1557673
|
NE FINISHED |
How this triple was built (4 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: Collet | Statement: [Collett, hasVariantSpelling, Collet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collet Context triple: [Collett, hasVariantSpelling, Collet]
-
A.
Colletti
Colletti is an Italian surname borne by various notable individuals, including figures in philosophy, politics, and the arts.
-
B.
Colet
Colet is a surname most notably associated with Dame Christian Colet and other members of the Colet family.
-
C.
Collett
Collett is the surname of Australian actress and producer Toni Collette, known for her versatile performances in film, television, and theatre.
-
D.
Glespin
Glespin is a small rural village in South Lanarkshire, Scotland, situated within the Douglasdale area.
-
E.
Collex-Bossy
Collex-Bossy is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the French border.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Collet Triple: [Collett, hasVariantSpelling, Collet]
Generated description
Collet is a surname and given name of French origin, borne by various notable individuals across fields such as politics, arts, and science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Collet Target entity description: Collet is a surname and given name of French origin, borne by various notable individuals across fields such as politics, arts, and science.
-
A.
Colletti
Colletti is an Italian surname borne by various notable individuals, including figures in philosophy, politics, and the arts.
-
B.
Colet
Colet is a surname most notably associated with Dame Christian Colet and other members of the Colet family.
-
C.
Collett
Collett is the surname of Australian actress and producer Toni Collette, known for her versatile performances in film, television, and theatre.
-
D.
Glespin
Glespin is a small rural village in South Lanarkshire, Scotland, situated within the Douglasdale area.
-
E.
Collex-Bossy
Collex-Bossy is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the French border.
- F. None of above. chosen
Provenance (5 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7b565388190bb70602834ae5622 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8666f608190b512aa4c8442f6c1 |
completed | May 19, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0baa4decf881909774facad2cae93d |
completed | May 19, 2026, 12:09 a.m. |
Created at: April 17, 2026, 3:35 p.m.