Triple
T8628585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emun Elliott |
E204340
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Emun Elliott |
E204340
|
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: Emun Elliott | Statement: [Emun Elliott, name, Emun Elliott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emun Elliott Context triple: [Emun Elliott, name, Emun Elliott]
-
A.
Emun Elliott
chosen
Emun Elliott is a Scottish actor known for his work in film and television, including roles in projects such as the sci-fi film "Prometheus."
-
B.
Elliot Graham
Elliot Graham is a film editor known for his work on major feature films, including the James Bond movie "No Time to Die."
-
C.
Jonathan Eirich
Jonathan Eirich is a film producer best known for his work on major Hollywood projects such as Disney’s live-action adaptation of Aladdin (2019).
-
D.
Devlin Elliott
Devlin Elliott is an American theater and film producer best known as the husband of actor Nathan Lane.
-
E.
Matthew Elliott
Matthew Elliott is a British political strategist and campaigner best known for leading the pro-Brexit Vote Leave campaign.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc473f6b888190ae40d65f24122c88 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc02b4008190a70ca8eb6f43926d |
completed | April 2, 2026, 6:57 p.m. |
Created at: March 30, 2026, 6:27 p.m.