Triple
T10558839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coleen Nolan |
E249159
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Coleen Nolan |
E249159
|
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: Coleen Nolan | Statement: [Coleen Nolan, name, Coleen Nolan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coleen Nolan Context triple: [Coleen Nolan, name, Coleen Nolan]
-
A.
Coleen Nolan
chosen
Coleen Nolan is an English singer, television presenter, and media personality best known as a member of the pop group The Nolans and as a longtime panelist on the talk show "Loose Women."
-
B.
Kelly Reilly
Kelly Reilly is an English actress known for her roles in films like "Flight" and the "Sherlock Holmes" series, as well as the television drama "Yellowstone."
-
C.
Michelle Monaghan
Michelle Monaghan is an American actress known for her roles in films such as "Gone Baby Gone" and the "Mission: Impossible" series, as well as various television dramas.
-
D.
Julia Ormond
Julia Ormond is a British actress known for her roles in films such as "Legends of the Fall," "Sabrina," and "The Curious Case of Benjamin Button."
-
E.
Kristin Scott Thomas
Kristin Scott Thomas is an acclaimed British actress known for her nuanced performances in films such as "The English Patient," "Four Weddings and a Funeral," and "The Horse Whisperer."
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5271e65688190bcf7931373d87f94 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b38b4c081908cc2816144c23152 |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:35 p.m.