Triple
T1105518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argo |
E25479
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Bryan Cranston |
E92573
|
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: Bryan Cranston | Statement: [Argo, castMember, Bryan Cranston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bryan Cranston Context triple: [Argo, castMember, Bryan Cranston]
-
A.
Bryan Cranston
chosen
Bryan Cranston is an American actor best known for his acclaimed portrayal of Walter White in the television series "Breaking Bad."
-
B.
Hal Holbrook
Hal Holbrook was an American actor renowned for his Emmy- and Tony-winning career in film, television, and theater, particularly for his acclaimed portrayal of Mark Twain in his long-running one-man show.
-
C.
Bradley Whitford
Bradley Whitford is an American actor best known for his Emmy-winning role as Josh Lyman on the political drama series "The West Wing."
-
D.
Chris Cooper
Chris Cooper is an American character actor known for his intense, nuanced performances in films such as "American Beauty," "Adaptation," and "Seabiscuit."
-
E.
Ian McShane
Ian McShane is a British actor renowned for his charismatic and often morally ambiguous roles in film and television, including standout performances in series like "Deadwood" and the "John Wick" franchise.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e21f048190bf4b63dd2c7c7641 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5391a4a88190b7ef6993b2b85b08 |
completed | March 7, 2026, 4:34 p.m. |
Created at: March 1, 2026, 7:43 p.m.