Triple
T11714640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collette Wolfe |
E278462
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Collette Wolfe |
E278462
|
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: Collette Wolfe | Statement: [Collette Wolfe, name, Collette Wolfe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collette Wolfe Context triple: [Collette Wolfe, name, Collette Wolfe]
-
A.
Collette Wolfe
chosen
Collette Wolfe is an American actress known for her supporting roles in comedy and drama films and television series, often portraying quirky or offbeat characters.
-
B.
Colette Alexander
Colette Alexander is known primarily as the spouse of British actor Terence Alexander.
-
C.
Colette Carr
Colette Carr is an American singer, rapper, and songwriter known for her energetic pop-rap style and work within the indie and dance-pop scenes.
-
D.
Colette Cunningham
Colette Cunningham is the wife of Irish actor Liam Cunningham, known for his role as Davos Seaworth in the television series "Game of Thrones."
-
E.
Rebecca Cottrell
Rebecca Cottrell is the wife of Stephen Cottrell, the Archbishop of York in the Church of England.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4bf54d88190a8e07fbbf8d9e962 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8397a4ac8190a71dfdd53bfa168a |
completed | April 27, 2026, 3:41 p.m. |
Created at: April 8, 2026, 9:40 p.m.