Triple
T9098439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dimitri Tiomkin |
E218087
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rio Bravo |
E54656
|
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: Rio Bravo | Statement: [Dimitri Tiomkin, notableWork, Rio Bravo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio Bravo Context triple: [Dimitri Tiomkin, notableWork, Rio Bravo]
-
A.
Rio Bravo
chosen
"Rio Bravo" is a classic 1959 American Western film directed by Howard Hawks, starring John Wayne, Dean Martin, and Ricky Nelson as a young gunslinger.
-
B.
Cut and Shoot, Texas
Cut and Shoot, Texas is a small, historically rural community in eastern Montgomery County known for its unusual name and close proximity to Conroe.
-
C.
Mid Yell
Mid Yell is the main village and administrative hub on the island of Yell in the Shetland Islands, Scotland.
-
D.
The Lone Star
The Lone Star is a popular nickname for the national flag of Chile, highlighting its single prominent white star on a blue field.
-
E.
The Eyes of Texas
"The Eyes of Texas" is a traditional anthem closely associated with the University of Texas at Austin, widely recognized as a central part of Longhorns sports and school spirit.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc970f340881909f5551219f151acf |
completed | April 1, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d01824ee2081909cc5e6ae33fab2e5 |
completed | April 3, 2026, 7:42 p.m. |
Created at: March 30, 2026, 7:15 p.m.