Triple
T3017506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humoresque |
E82372
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Jean Negulesco |
E224479
|
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: Jean Negulesco | Statement: [Humoresque, director, Jean Negulesco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Negulesco Context triple: [Humoresque, director, Jean Negulesco]
-
A.
Jean Negulesco
chosen
Jean Negulesco was a Romanian-American film director and screenwriter best known for his stylish Hollywood dramas and romances from the 1940s and 1950s.
-
B.
Gregory La Cava
Gregory La Cava was an American film director best known for his sophisticated 1930s comedies and character-driven dramas in Hollywood’s Golden Age.
-
C.
Leo Tover
Leo Tover was an American cinematographer known for his work on numerous classic Hollywood films across several decades.
-
D.
Emile Ardolino
Emile Ardolino was an American film director best known for popular hits like "Dirty Dancing" and "Sister Act," as well as his work on dance-focused documentaries.
-
E.
George Jessel
George Jessel was an American actor, comedian, and film producer known as "The Toastmaster General of the United States" for his prolific work in entertainment and public speaking.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a90ea64819080620e60bbd6aa24 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e6eac1481909d56844e53c37b59 |
completed | March 11, 2026, 8:57 a.m. |
Created at: March 8, 2026, 3 p.m.