Triple
T12069429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collen |
E287383
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Nicki Collen |
E57407
|
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: Nicki Collen | Statement: [Collen, hasNotableBearer, Nicki Collen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicki Collen Context triple: [Collen, hasNotableBearer, Nicki Collen]
-
A.
Nicki Collen
chosen
Nicki Collen is an American women's basketball coach best known for leading the Baylor Lady Bears after previously serving as head coach of the WNBA's Atlanta Dream.
-
B.
Nicki Chapman
Nicki Chapman is a British television presenter and talent show judge best known for her role on the early 2000s music competition series Pop Idol.
-
C.
Nicki Moore
Nicki Moore is a collegiate athletics administrator who serves as the athletic director for Cornell University's Big Red sports programs.
-
D.
Lana Clarkson
Lana Clarkson was an American actress and model best known for her roles in 1980s fantasy films and for her highly publicized 2003 murder by music producer Phil Spector.
-
E.
Nicki Aycox
Nicki Aycox was an American actress and musician best known for her roles in television series like "Supernatural" and films such as "Jeepers Creepers 2."
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90457fd488190b311ed69d2aebdf9 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f65af0e88190ad32adb9ff76b01b |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.