Triple
T22223366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Road to Bali |
E549269
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Hal Kanter |
—
|
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: Hal Kanter | Statement: [Road to Bali, screenwriter, Hal Kanter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hal Kanter Context triple: [Road to Bali, screenwriter, Hal Kanter]
-
A.
Hal Kanter
chosen
Hal Kanter was an American comedy writer, director, and producer known for his work in film and television, including writing for major Hollywood features and popular TV shows.
-
B.
Jay Kanter
Jay Kanter is an American film executive and producer best known for co-founding The Ladd Company and for his influential work in Hollywood studio leadership.
-
C.
Mary Kahn
Mary Kahn is known primarily as the wife of influential American economist and deregulation advocate Alfred E. Kahn.
-
D.
Lori Peters
Lori Peters is an American drummer best known for her tenure with the Christian rock band Skillet.
-
E.
Karen Kadler
Karen Kadler was an American actress known for her roles in mid-20th-century films and television, including appearances in cult and genre productions.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b92b79c8190a8a4d33591abd763 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.