Triple
T19394802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dame Christian Colet |
E485159
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Colet
Colet is a surname most notably associated with Dame Christian Colet and other members of the Colet family.
|
E1373975
|
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: Colet | Statement: [Dame Christian Colet, familyName, Colet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colet Context triple: [Dame Christian Colet, familyName, Colet]
-
A.
Collett
Collett is the surname of Australian actress and producer Toni Collette, known for her versatile performances in film, television, and theatre.
-
B.
Colletti
Colletti is an Italian surname borne by various notable individuals, including figures in philosophy, politics, and the arts.
-
C.
McCole
McCole is a surname, likely of Irish or Scottish origin, that serves as a variant spelling of the name McCool.
-
D.
Kole
Kole is a music producer known for working on the album "Songs About Girls."
-
E.
Conoley
Conoley is the surname of Jane Close Conoley, an American psychologist and academic administrator known for serving as president of California State University, Long Beach.
- 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: Colet Triple: [Dame Christian Colet, familyName, Colet]
Generated description
Colet is a surname most notably associated with Dame Christian Colet and other members of the Colet family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colet Target entity description: Colet is a surname most notably associated with Dame Christian Colet and other members of the Colet family.
-
A.
Collett
Collett is the surname of Australian actress and producer Toni Collette, known for her versatile performances in film, television, and theatre.
-
B.
Colletti
Colletti is an Italian surname borne by various notable individuals, including figures in philosophy, politics, and the arts.
-
C.
McCole
McCole is a surname, likely of Irish or Scottish origin, that serves as a variant spelling of the name McCool.
-
D.
Kole
Kole is a music producer known for working on the album "Songs About Girls."
-
E.
Conoley
Conoley is the surname of Jane Close Conoley, an American psychologist and academic administrator known for serving as president of California State University, Long Beach.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b47630881909ba390888b8779f6 |
completed | April 20, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b8b87a881909b3651f98ab49cdb |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072eb2d5b08190a0cafb1427cfd16d |
completed | May 15, 2026, 2:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072f6caef48190acb52960ebde9ace |
completed | May 15, 2026, 2:36 p.m. |
Created at: April 10, 2026, 1:36 p.m.