Triple
T15389332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brimstone |
E367997
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Emilia Jones |
E434535
|
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: Emilia Jones | Statement: [Brimstone, starring, Emilia Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emilia Jones Context triple: [Brimstone, starring, Emilia Jones]
-
A.
Emilia Jones
chosen
Emilia Jones is a British actress and singer best known for her acclaimed lead performance in the Oscar-winning film "CODA."
-
B.
Emilia McCarthy
Emilia McCarthy is a Canadian actress known for her roles in Disney Channel productions such as "Zapped" and the "Zombies" film series.
-
C.
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.
-
D.
Lily Houghton
Lily Houghton is a fictional, adventurous British botanist and explorer from the film "Jungle Cruise."
-
E.
Madeleine Harris
Madeleine Harris is a British actress best known for playing Judy Brown in the family film "Paddington" and its sequel.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e761b688190893a81246b735b76 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134e37d881909f373b90a99fc067 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.