Triple
T17623401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love at First Bite |
E429766
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Stan Dragoti |
—
|
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: Stan Dragoti | Statement: [Love at First Bite, director, Stan Dragoti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stan Dragoti Context triple: [Love at First Bite, director, Stan Dragoti]
-
A.
Stan Dragoti
chosen
Stan Dragoti was an American film director best known for his 1980s comedies, including the hit family film "Mr. Mom."
-
B.
Victor Stolan
Victor Stolan was a key early initiator and co-founder of the World Wildlife Fund, helping to launch what became one of the world’s leading conservation organizations.
-
C.
George Kralovansky
George Kralovansky is a television producer best known for his executive production work on the live law-enforcement reality series "Live PD."
-
D.
Martin Kove
Martin Kove is an American actor best known for his role as the ruthless sensei John Kreese in the Karate Kid film series and its sequel series Cobra Kai.
-
E.
Rene Bitorajac
Rene Bitorajac is a Croatian actor best known internationally for his role in the Oscar-winning Bosnian war film "No Man's Land."
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dba664c81909dcaf44779db5565 |
completed | April 19, 2026, 5:52 a.m. |
Created at: April 10, 2026, 5:52 a.m.