Triple
T2657836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Bravo |
E54656
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Russell Harlan |
E368391
|
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: Russell Harlan | Statement: [Rio Bravo, cinematographyBy, Russell Harlan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Russell Harlan Context triple: [Rio Bravo, cinematographyBy, Russell Harlan]
-
A.
Russell Harlan
chosen
Russell Harlan was an American cinematographer known for his work on numerous classic films, including "Witness for the Prosecution," "To Kill a Mockingbird," and "Red River."
-
B.
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."
-
C.
George L. Dahl
George L. Dahl was a prominent 20th-century American architect known for shaping much of Dallas’s skyline and major civic landmarks.
-
D.
Roger D. Lapham
Roger D. Lapham was an American shipping executive and politician who served as mayor of San Francisco in the 1940s.
-
E.
LeRoy Apker
LeRoy Apker was an American experimental physicist known for his contributions to solid-state physics and for his work at General Electric.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94c61a08190bdf5e1caeff3e788 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b67b92d4dc81908a26a977bc25319c |
completed | March 15, 2026, 9:27 a.m. |
Created at: March 6, 2026, 9:53 p.m.