Triple
T21922668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf Diesel |
E541357
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Martha Diesel |
—
|
NE NERFINISHED |
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: Martha Diesel | Statement: [Rudolf Diesel, spouse, Martha Diesel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Diesel Context triple: [Rudolf Diesel, spouse, Martha Diesel]
-
A.
Martha Diesel
chosen
Martha Diesel was the wife of Rudolf Diesel, the German inventor of the diesel engine.
-
B.
Daniela Lavender
Daniela Lavender is a Brazilian-born actress and producer known for her work in film and television and for being married to actor Sir Ben Kingsley.
-
C.
Elle Driver
Elle Driver is a ruthless, one-eyed assassin in Quentin Tarantino's Kill Bill saga, known for her lethal skill, volatile temperament, and rivalry with the Bride.
-
D.
Jacqueline Durran
Jacqueline Durran is an acclaimed British costume designer known for her work on major period and contemporary films, including multiple Academy Award–winning productions.
-
E.
Mercedes Miller
Mercedes Miller is known as the spouse of the late American actor, author, and political activist Christopher Lawford, a member of the Kennedy family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233d096c8190af0d7cd21879c91b |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:45 p.m.