Triple
T5584868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imogen Poots |
E146729
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Imogen Poots |
E146729
|
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: Imogen Poots | Statement: [Imogen Poots, name, Imogen Poots]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imogen Poots Context triple: [Imogen Poots, name, Imogen Poots]
-
A.
Imogen Poots
chosen
Imogen Poots is a British actress known for her versatile performances in films such as "Green Room," "28 Weeks Later," and "Need for Speed."
-
B.
Tamsin Olivier
Tamsin Olivier is the daughter of acclaimed British actress Joan Plowright and legendary actor Laurence Olivier.
-
C.
Saskia Reeves
Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
-
D.
Sophie Cookson
Sophie Cookson is an English actress best known for her breakout role as Roxy in the action spy film "Kingsman: The Secret Service."
-
E.
Natascha McElhone
Natascha McElhone is a British actress known for her film roles in the late 1990s and 2000s, including prominent performances in movies like "The Truman Show" and "Ronin," as well as her work in television series such as "Californication."
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02085d0e48190b8d185fe7f3d8579 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059fc908c819087eb9b81fedffb4f |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:37 p.m.