Triple
T20360882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Happy Few (play) |
E496775
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Imogen Stubbs |
—
|
NE NERFINISHED |
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: Imogen Stubbs | Statement: [We Happy Few (play), writer, Imogen Stubbs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imogen Stubbs Context triple: [We Happy Few (play), writer, Imogen Stubbs]
-
A.
Imogen Stubbs
chosen
Imogen Stubbs is an English actress known for her work in film, television, and theatre, including notable roles in period dramas.
-
B.
Imogen Waterhouse
Imogen Waterhouse is a British model and actress known for her work in fashion campaigns and roles in film and television.
-
C.
Imogen Goold
Imogen Goold is a legal scholar and professor known for her work in medical law and ethics, particularly in areas such as reproductive rights and the regulation of emerging medical technologies.
-
D.
Imogen Cooper
Imogen Cooper is a renowned British classical pianist celebrated for her interpretations of composers such as Schubert and Mozart and her distinguished international concert career.
-
E.
Imogen Hassall
Imogen Hassall was a British actress of the 1960s and 1970s, often cast in glamorous or provocative roles in film and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678584294819093788ccf2fb8e588 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.