Triple
T14167823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Joan |
E351125
|
entity |
| Predicate | star |
P23405
|
FINISHED |
| Object | Sophie Cookson |
E70817
|
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: Sophie Cookson | Statement: [Red Joan, star, Sophie Cookson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Cookson Context triple: [Red Joan, star, Sophie Cookson]
-
A.
Sophie Cookson
chosen
Sophie Cookson is an English actress best known for her breakout role as Roxy in the action spy film "Kingsman: The Secret Service."
-
B.
Sophie Dahl
Sophie Dahl is an English author and former fashion model, known for her novels and cookbooks as well as being the granddaughter of writer Roald Dahl.
-
C.
Sophie Ryder
Sophie Ryder is a contemporary British sculptor known for her large-scale, often mythological and animal-human hybrid figures created in materials such as bronze and wire.
-
D.
Imogen Poots
Imogen Poots is a British actress known for her versatile performances in films such as "Green Room," "28 Weeks Later," and "Need for Speed."
-
E.
Sophie Hopkins
Sophie Hopkins is a British actress best known for her role as April MacLean in the Doctor Who spin-off television series "Class."
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54fe6b048190a16695af6e269e86 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1 a.m.