Triple
T21536028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Wax |
E531351
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | André De Toth |
—
|
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: André De Toth | Statement: [House of Wax, director, André De Toth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André De Toth Context triple: [House of Wax, director, André De Toth]
-
A.
André De Toth
chosen
André De Toth was a Hungarian-American film director best known for his work in film noir and 3D horror, including the classic "House of Wax" (1953).
-
B.
Nicolas de Toth
Nicolas de Toth is a film editor best known for his work on major Hollywood action movies, including Terminator 3: Rise of the Machines.
-
C.
Sam Fuller
Sam Fuller is a tough, no-nonsense FBI agent who becomes Gracie Hart’s reluctant partner and ally in the comedy film "Miss Congeniality 2: Armed and Fabulous."
-
D.
James Nava
James Nava is a character in the crime drama series "Shades of Blue," involved in the show's complex world of law enforcement and corruption.
-
E.
Ivan Tors
Ivan Tors was a Hungarian-American film and television producer best known for creating and producing animal- and nature-focused adventure series such as Flipper, Daktari, and Gentle Ben.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0ce8d08190b3233d7117a9b1ca |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.