Triple
T3120847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keanu Reeves |
E65178
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Jack Traven
Jack Traven is the daring Los Angeles police officer protagonist portrayed by Keanu Reeves in the action film "Speed."
|
E328494
|
NE FINISHED |
How this triple was built (4 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: Jack Traven | Statement: [Keanu Reeves, characterPortrayed, Jack Traven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Traven Context triple: [Keanu Reeves, characterPortrayed, Jack Traven]
-
A.
Paul Le Mat
Paul Le Mat is an American actor best known for his breakout role as the hot-rodder John Milner in the coming-of-age film "American Graffiti."
-
B.
Raymond Gardner
Raymond Gardner was the brother of famed American actress Ava Gardner, a member of the Gardner family from rural North Carolina.
-
C.
Mickey Spillane
Mickey Spillane was an American crime novelist best known for his hard-boiled Mike Hammer detective series.
-
D.
Francis Carco
Francis Carco was a French novelist, poet, and journalist associated with bohemian Paris and known for his gritty, atmospheric depictions of urban life and the criminal underworld.
-
E.
Edgar Wallace
Edgar Wallace was a prolific British writer best known for his crime novels and for contributing to the original story that inspired the 1933 film "King Kong."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jack Traven Triple: [Keanu Reeves, characterPortrayed, Jack Traven]
Generated description
Jack Traven is the daring Los Angeles police officer protagonist portrayed by Keanu Reeves in the action film "Speed."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jack Traven Target entity description: Jack Traven is the daring Los Angeles police officer protagonist portrayed by Keanu Reeves in the action film "Speed."
-
A.
Paul Le Mat
Paul Le Mat is an American actor best known for his breakout role as the hot-rodder John Milner in the coming-of-age film "American Graffiti."
-
B.
Raymond Gardner
Raymond Gardner was the brother of famed American actress Ava Gardner, a member of the Gardner family from rural North Carolina.
-
C.
Mickey Spillane
Mickey Spillane was an American crime novelist best known for his hard-boiled Mike Hammer detective series.
-
D.
Francis Carco
Francis Carco was a French novelist, poet, and journalist associated with bohemian Paris and known for his gritty, atmospheric depictions of urban life and the criminal underworld.
-
E.
Edgar Wallace
Edgar Wallace was a prolific British writer best known for his crime novels and for contributing to the original story that inspired the 1933 film "King Kong."
- F. None of above. chosen
Provenance (5 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5295cd481908d52e165538c67fa |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f6bc644819093a7cab7220f4ca0 |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b21065c6208190bde60417ba23997b |
completed | March 12, 2026, 1:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b210c280ec819081ded9261dc59cf3 |
completed | March 12, 2026, 1:02 a.m. |
Created at: March 8, 2026, 3:04 p.m.