Triple
T5148707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dog |
E116137
|
entity |
| Predicate | starredActor |
P5563
|
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: [Red Dog, starredActor, Josh Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Lucas Context triple: [Red Dog, starredActor, 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.
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."
-
C.
Josh Dallas
Josh Dallas is an American actor best known for his roles as Prince Charming/David Nolan on the TV series "Once Upon a Time" and as Ben Stone on "Manifest."
-
D.
Luke Goss
Luke Goss is an English actor and former drummer best known for his roles in genre films such as "Blade II" and "Hellboy II: The Golden Army."
-
E.
Josh Stewart
Josh Stewart is an American actor known for his roles in films like "The Collector" series and "The Dark Knight Rises" as well as television shows such as "Criminal Minds."
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78b17028819080568715df8c13eb |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfff6e8c8190883fc981fca95f48 |
completed | March 21, 2026, 5:06 p.m. |
Created at: March 20, 2026, 1:43 p.m.