Triple
T10236486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weeds |
E243476
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | John Toles-Bey |
E579212
|
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: John Toles-Bey | Statement: [Weeds, starring, John Toles-Bey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Toles-Bey Context triple: [Weeds, starring, John Toles-Bey]
-
A.
John Toles-Bey
chosen
John Toles-Bey is an American screenwriter and actor best known for his work on the crime-comedy film "A Rage in Harlem."
-
B.
Daniel Hylton
Daniel Hylton was the plaintiff in the landmark 1796 U.S. Supreme Court case Hylton v. United States, one of the earliest tests of federal taxation powers and judicial review.
-
C.
Anthony Bodden
Anthony Bodden is a screenwriter known for his work on the film "Belly."
-
D.
Edward Milner
Edward Milner was a prominent 19th-century English landscape gardener known for designing public parks and ornamental gardens during the Victorian era.
-
E.
Hugh Quarshie
Hugh Quarshie is a Ghanaian-born British actor known for his work in film, television, and theatre, including roles in "Holby City" and "Star Wars: Episode I – The Phantom Menace."
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d219ab04819094a17c96bf1d65ae |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f762732481909246dcb768074643 |
completed | April 9, 2026, 12:48 a.m. |
Created at: April 6, 2026, 11:22 a.m.