Triple
T13992762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molotov Girl |
E336621
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Jodie Comer |
E66953
|
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: Jodie Comer | Statement: [Molotov Girl, portrayedBy, Jodie Comer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jodie Comer Context triple: [Molotov Girl, portrayedBy, Jodie Comer]
-
A.
Jodie Comer
chosen
Jodie Comer is an English actress best known for her critically acclaimed, chameleonic performance as assassin Villanelle in the television series "Killing Eve."
-
B.
Vanessa Kirby
Vanessa Kirby is an English actress known for her acclaimed performances in both film and television, including her breakout role as Princess Margaret in the Netflix series "The Crown."
-
C.
Emma Corrin
Emma Corrin is an English actor best known for their acclaimed portrayal of Princess Diana in the television series "The Crown."
-
D.
Daisy Edgar-Jones
Daisy Edgar-Jones is a British actress best known for her breakout role in the television adaptation of Sally Rooney’s "Normal People."
-
E.
Tamsin Egerton
Tamsin Egerton is an English actress and model known for roles in films such as "St Trinian's," "Keeping Mum," and "The Look of Love."
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d756bb48190ae5598e48b281f71 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 9, 2026, 10:19 p.m.