Triple
T19097981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe le taxi |
E467456
|
entity |
| Predicate | hasEnglishVersion |
P2303
|
FINISHED |
| Object | Joe the Taxi |
—
|
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: Joe the Taxi | Statement: [Joe le taxi, hasEnglishVersion, Joe the Taxi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe the Taxi Context triple: [Joe le taxi, hasEnglishVersion, Joe the Taxi]
-
A.
Cabbie
Cabbie is a quirky, talkative New York City taxi driver who serves as a memorable supporting character in the dystopian action film "Escape from New York."
-
B.
Mr. Cab Driver
"Mr. Cab Driver" is a politically charged rock-funk song by Lenny Kravitz, known for its raw guitar sound and lyrics confronting racism and prejudice.
-
C.
The Cab Driver
The Cab Driver is the alias of Darryl Hill, a figure known primarily in connection with his activities under this moniker.
-
D.
Joe le taxi
chosen
"Joe le taxi" is a 1987 French pop song by Vanessa Paradis that became an international hit and launched her to fame as a teenage singer.
-
E.
Benny the Cab
Benny the Cab is a wisecracking, anthropomorphic taxicab character from the live-action/animated film "Who Framed Roger Rabbit."
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36b279c819091a8d51f044bc644 |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.