Triple
T9198498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Demme |
E220776
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ted Demme |
E220776
|
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: Ted Demme | Statement: [Ted Demme, name, Ted Demme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Demme Context triple: [Ted Demme, name, Ted Demme]
-
A.
Ted Demme
chosen
Ted Demme was an American film and television director and producer known for works such as the feature film "Blow" and various music videos and TV projects.
-
B.
Jonathan Demme
Jonathan Demme was an American film director best known for his eclectic body of work, including the Oscar-winning thriller "The Silence of the Lambs" and acclaimed music documentaries like "Stop Making Sense."
-
C.
Martin Brest
Martin Brest is an American film director, screenwriter, and producer best known for popular hits like "Beverly Hills Cop," "Midnight Run," and "Scent of a Woman."
-
D.
Jon Amiel
Jon Amiel is a British film and television director known for works such as "The Singing Detective," "Copycat," and "Entrapment."
-
E.
Jeremy Leven
Jeremy Leven is an American screenwriter, director, and novelist known for adapting romantic and character-driven stories for film, including the hit movie "The Notebook."
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd880ab808190aa785a5f1e5d5976 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c40267c8190926f4d5c912d0f45 |
completed | April 4, 2026, 12:33 a.m. |
Created at: March 30, 2026, 7:25 p.m.