Triple
T16018375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Prayer for the Dying |
E388527
|
entity |
| Predicate | adaptationStar |
P55089
|
FINISHED |
| Object | Alan Bates |
E190481
|
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: Alan Bates | Statement: [A Prayer for the Dying, adaptationStar, Alan Bates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Bates Context triple: [A Prayer for the Dying, adaptationStar, Alan Bates]
-
A.
Alan Bates
chosen
Alan Bates was an acclaimed English actor known for his intense, nuanced performances in film, television, and theatre from the 1960s onward.
-
B.
Anthony Perkins
Anthony Perkins was an American actor best known for his iconic role as Norman Bates in Alfred Hitchcock’s film "Psycho."
-
C.
Stanley Baker
Stanley Baker was a Welsh actor and film producer known for his intense screen presence and prominent roles in British cinema of the 1950s and 1960s.
-
D.
Robert Clark
Robert Clark, better known as Robert Indiana, was an American artist associated with the pop art movement, famed for his iconic "LOVE" image and bold, text-based works.
-
E.
Robert Clark
Robert Clark was a British film producer best known for his work on mid-20th-century war and adventure films.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18296a7008190b72ab2ab02d0fbc9 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf2a4b0c819094f629c65cf8f880 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.