Triple
T11136298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Dalton |
E263420
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tony Dalton |
E263420
|
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: Tony Dalton | Statement: [Tony Dalton, name, Tony Dalton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Dalton Context triple: [Tony Dalton, name, Tony Dalton]
-
A.
Tony Dalton
chosen
Tony Dalton is a Mexican-American actor best known internationally for his roles in the series "Better Call Saul" and Marvel's "Hawkeye."
-
B.
Eddie Marsan
Eddie Marsan is a British character actor known for his versatile performances in film and television, including roles in projects like "Ray Donovan," "Happy-Go-Lucky," and numerous Guy Ritchie films.
-
C.
Danny Dyer
Danny Dyer is an English actor and television personality best known for his tough-guy roles in British films and the soap opera EastEnders.
-
D.
Richard Brake
Richard Brake is a Welsh-American character actor known for his intense villainous roles in film and television, including appearances in genre works like Doom (2005), Batman Begins, and Game of Thrones.
-
E.
Jack Reynor
Jack Reynor is an Irish-American actor known for his roles in films such as "Midsommar," "What Richard Did," and "Transformers: Age of Extinction."
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85daddc8190a1ae2a4a75cc8d50 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463177bfc81908a3e66ffc0777777 |
completed | April 19, 2026, 5:07 a.m. |
Created at: April 8, 2026, 9:28 p.m.