Triple
T16330191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santana Productions |
E396530
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tokyo Joe |
E816562
|
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: Tokyo Joe | Statement: [Santana Productions, notableWork, Tokyo Joe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokyo Joe Context triple: [Santana Productions, notableWork, Tokyo Joe]
-
A.
Tokyo Joe
chosen
Tokyo Joe is a 1949 film noir crime drama starring Humphrey Bogart as an ex-serviceman entangled in postwar Tokyo’s criminal underworld.
-
B.
Gigolo Joe
Gigolo Joe is a charming, hyper-stylized male-prostitute android character from Steven Spielberg’s science fiction film "A.I. Artificial Intelligence."
-
C.
Pronto Monto
Pronto Monto is a 1978 folk-pop album by Canadian singer-songwriters Kate and Anna McGarrigle, known for its lush arrangements and witty, bilingual songwriting.
-
D.
Banzai Bill
Banzai Bill is a massive, slow-moving Bullet Bill variant from the Super Mario series that flies horizontally across the screen as a powerful obstacle.
-
E.
The Joe
The Joe is a famous indoor arena in Detroit, Michigan, best known as the longtime home of the NHL’s Detroit Red Wings.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4debef08190a64f13214bfa098f |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261134108190812da262b424a476 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.