Triple
T1252184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dust |
E26901
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Hunt Stromberg |
E168219
|
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: Hunt Stromberg | Statement: [Red Dust, producer, Hunt Stromberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunt Stromberg Context triple: [Red Dust, producer, Hunt Stromberg]
-
A.
Hunt Stromberg
chosen
Hunt Stromberg was a prominent American film producer of Hollywood’s Golden Age, best known for his work at MGM on numerous classic films of the 1930s and 1940s.
-
B.
George Strauss
George Strauss was a British Labour politician who served for many years as a Member of Parliament and held senior government roles in the mid-20th century.
-
C.
George Boemler
George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
-
D.
Milton Van Dyke
Milton Van Dyke was an influential American fluid dynamicist and author known for his classic works on aerodynamics and fluid mechanics, including the widely used reference "An Album of Fluid Motion."
-
E.
Harold Hazen
Harold Hazen was an American electrical engineer and MIT professor known for his pioneering work in control systems and his role in developing early analog computing devices.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf875cf48190b6781d41097ee39b |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad293872cc8190894581cff289627e |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 1, 2026, 7:47 p.m.