Triple
T19982154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ride with the Devil |
E493842
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tobey Maguire |
—
|
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: Tobey Maguire | Statement: [Ride with the Devil, starring, Tobey Maguire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tobey Maguire Context triple: [Ride with the Devil, starring, Tobey Maguire]
-
A.
Tobey Maguire
chosen
Tobey Maguire is an American actor best known for portraying Peter Parker/Spider-Man in Sam Raimi’s Spider-Man film trilogy.
-
B.
Tom Hollander
Tom Hollander is an English actor known for his versatile performances in film, television, and theatre, including roles in "In the Loop," "Pride & Prejudice," and the series "Rev."
-
C.
Andrew Garfield
Andrew Garfield is an acclaimed British-American actor known for roles in films such as "The Social Network" and "The Amazing Spider-Man" series.
-
D.
Todd Holland
Todd Holland is an American television and film director best known for his work on acclaimed comedy series such as "Malcolm in the Middle" and "The Larry Sanders Show."
-
E.
Andy Garfield
Andy Garfield is a composer and musician known for creating the musical score for the film "Hatchet."
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d13a8a88190bf5f4f697793f4c9 |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.