Triple
T4609409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Road to Utopia |
E100517
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Norman Panama |
E437323
|
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: Norman Panama | Statement: [Road to Utopia, screenwriter, Norman Panama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Panama Context triple: [Road to Utopia, screenwriter, Norman Panama]
-
A.
Norman Panama
chosen
Norman Panama was an American screenwriter, film producer, and director best known for his comedic collaborations with Melvin Frank on mid-20th-century Hollywood films.
-
B.
Norman Gay
Norman Gay is a film editor best known for his work on the classic horror movie "The Exorcist."
-
C.
Norman Blake
Norman Blake is an American acoustic guitarist and songwriter renowned for his influential work in bluegrass, folk, and Americana music.
-
D.
Norman Puckle
Norman Puckle is the bumbling yet well-meaning protagonist of the 1935 British comedy film "The Bulldog Breed."
-
E.
Norman Rosemont
Norman Rosemont was an American television and film producer best known for his high-quality adaptations of classic literary works.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599f08d88190ad4bed8bafb592cd |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa7e918881908743818e0645da46 |
completed | March 21, 2026, 1:55 a.m. |
Created at: March 20, 2026, 1:12 p.m.