Triple
T16636024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ballad of Buster Scruggs |
E404206
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Robert Graf |
E725714
|
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: Robert Graf | Statement: [The Ballad of Buster Scruggs, producer, Robert Graf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Graf Context triple: [The Ballad of Buster Scruggs, producer, Robert Graf]
-
A.
Robert Graf
chosen
Robert Graf is a film and television producer best known for his work on major projects such as the sports drama "Battle of the Sexes."
-
B.
David Graf
David Graf was an American character actor best known for his comedic role as the gun-obsessed Officer Eugene Tackleberry in the Police Academy film series.
-
C.
Paul Graetz
Paul Graetz was a French film producer active in the mid-20th century, known for backing a range of notable European films.
-
D.
Edward Anhalt
Edward Anhalt was an American screenwriter and producer best known for his Academy Award–winning work on films such as "Panic in the Streets" and "Becket."
-
E.
William Richert
William Richert is an American filmmaker, screenwriter, and actor best known for directing the political satire thriller "Winter Kills."
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e999d48190bff680040dbc883d |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00918c998c81909b98d4fa9a8dbe3d |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:17 a.m.