Triple
T18659890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Road to Zanzibar |
E456163
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Paul Jones |
—
|
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: Paul Jones | Statement: [Road to Zanzibar, producer, Paul Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Jones Context triple: [Road to Zanzibar, producer, Paul Jones]
-
A.
Paul Jones
chosen
Paul Jones was a film producer best known for his work on classic Hollywood comedies, including several Bing Crosby and Bob Hope "Road to..." films.
-
B.
Nick Jones
Nick Jones is a British businessman and hospitality entrepreneur best known as the founder of the Soho House members’ club group.
-
C.
Ken Jones
Ken Jones was a British composer and conductor best known for his film and television scores in the mid-20th century.
-
D.
Ken Jones
Ken Jones was a prominent African American LGBTQ activist and community organizer known for his work in San Francisco’s gay rights and HIV/AIDS movements.
-
E.
Tim Jones
Tim Jones is a musician best known for his past role in the experimental rock band Cheer-Accident.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e550889580819090ceb0ea4c93acc7 |
completed | April 19, 2026, 10 p.m. |
Created at: April 10, 2026, 11:48 a.m.