Triple
T13656985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fish Tank |
E326886
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Kierston Wareing |
E882358
|
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: Kierston Wareing | Statement: [Fish Tank, castMember, Kierston Wareing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kierston Wareing Context triple: [Fish Tank, castMember, Kierston Wareing]
-
A.
Kierston Wareing
chosen
Kierston Wareing is a British actress known for her gritty performances in film and television dramas, including prominent roles in projects like Ken Loach’s "It’s a Free World..." and the series "EastEnders."
-
B.
Tessa Wheeler
Tessa Wheeler was a pioneering early 20th-century British archaeologist known for her influential excavations and contributions to developing modern archaeological methods.
-
C.
Alys Williams
Alys Williams is a Welsh water polo player who has represented Wales and Great Britain in international competitions.
-
D.
Jennifer Winkley
Jennifer Winkley is known as the former spouse of acclaimed American novelist Cormac McCarthy.
-
E.
Samantha Eggar
Samantha Eggar is a British actress best known for her acclaimed, Oscar-nominated performance in the psychological thriller film "The Collector."
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19259070819089bd3caf66e5af29 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 9:52 p.m.