Triple
T14235367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roadies |
E352862
|
entity |
| Predicate | star |
P23405
|
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: [Roadies, star, Imogen Poots]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imogen Poots Context triple: [Roadies, star, 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 Wilton
Tamsin Wilton was a British academic, writer, and pioneering lesbian feminist theorist known for her influential work on sexuality, gender, and queer studies.
-
C.
Imogen Harding
Imogen Harding is a notable individual associated with the Harding family name, recognized as a distinguished bearer of the surname.
-
D.
Madeleine Harris
Madeleine Harris is a British actress best known for playing Judy Brown in the family film "Paddington" and its sequel.
-
E.
Tamsin Olivier
Tamsin Olivier is the daughter of acclaimed British actress Joan Plowright and legendary actor Laurence Olivier.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62411c888190a154acd56fe3fcaf |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5bb9a5881908eac6153c7eb623e |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:07 a.m.