Triple
T14766103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glory Road |
E346999
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Josh Lucas |
E214684
|
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: Josh Lucas | Statement: [Glory Road, stars, Josh Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Lucas Context triple: [Glory Road, stars, Josh Lucas]
-
A.
Josh Lucas
chosen
Josh Lucas is an American actor known for his roles in films such as "Sweet Home Alabama," "A Beautiful Mind," and "Glory Road," as well as numerous television appearances.
-
B.
Joshua Leonard
Joshua Leonard is an American actor and filmmaker best known for his breakout role in "The Blair Witch Project" and his work in independent film and television.
-
C.
Justin Long
Justin Long is an American actor known for his comedic and romantic comedy roles in films like "Dodgeball," "Accepted," and the "I'm a Mac" Apple commercials.
-
D.
Joel David Moore
Joel David Moore is an American actor and director best known for his roles in films like "Avatar" and the TV series "Bones."
-
E.
Matthew Davis
Matthew Davis is an American actor best known for his role as Alaric Saltzman on the supernatural drama television series "The Vampire Diaries."
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe388aeb9c819099a987a819959479 |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:30 a.m.