Triple
T19982161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ride with the Devil |
E493842
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tom Guiry |
—
|
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: Tom Guiry | Statement: [Ride with the Devil, starring, Tom Guiry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Guiry Context triple: [Ride with the Devil, starring, Tom Guiry]
-
A.
Tom Guiry
chosen
Tom Guiry is an American actor best known for his breakout role as Scotty Smalls in the coming-of-age baseball film "The Sandlot."
-
B.
Thomas Greer
Thomas Greer is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Greer.
-
C.
Bruce Hough
Bruce Hough is an American businessman and political figure best known as the father of professional dancer and actress Julianne Hough.
-
D.
Stephen Mihm
Stephen Mihm is an American historian and author known for his work on economic and financial history, including co-authoring books on global economic issues.
-
E.
Chris Pitman
Chris Pitman is an American musician and multi-instrumentalist best known for his work with Guns N' Roses during the "Chinese Democracy" era.
- 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.