Triple
T6333296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Croods |
E142430
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Clark Duke |
E592513
|
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: Clark Duke | Statement: [The Croods, voiceActor, Clark Duke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clark Duke Context triple: [The Croods, voiceActor, Clark Duke]
-
A.
Clark Duke
chosen
Clark Duke is an American actor, comedian, and filmmaker known for roles in projects like "Hot Tub Time Machine," "The Office," and "Kick-Ass."
-
B.
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."
-
C.
David Naughton
David Naughton is an American actor and singer best known for his lead role in the horror-comedy film "An American Werewolf in London" and for his work in 1970s and 1980s film and television.
-
D.
Daniel Henney
Daniel Henney is an American actor and model known for his roles in films and television series such as "Big Hero 6," "Criminal Minds," and "The Wheel of Time."
-
E.
Richard Gant
Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06517a1e88190a0bfcac8a7e3a305 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64ba8838c8190873ebe0ae9c0237d |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:30 p.m.