Triple
T13602900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meet Joe Black |
E324987
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Martin Brest |
E342292
|
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: Martin Brest | Statement: [Meet Joe Black, director, Martin Brest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Brest Context triple: [Meet Joe Black, director, Martin Brest]
-
A.
Martin Brest
chosen
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."
-
B.
Bart Freundlich
Bart Freundlich is an American film director, screenwriter, and producer known for independent dramas and for his long-term collaboration and marriage with actress Julianne Moore.
-
C.
Roger Spottiswoode
Roger Spottiswoode is a British-Canadian film director and editor known for directing a range of Hollywood features, including the James Bond film "Tomorrow Never Dies."
-
D.
Jon Amiel
Jon Amiel is a British film and television director known for works such as "The Singing Detective," "Copycat," and "Entrapment."
-
E.
Brett Leonard
Brett Leonard is an American film director and screenwriter best known for pioneering early CGI and virtual reality themes in movies such as "The Lawnmower Man."
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ca07481909c45da551ea61ab4 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae394748190b6a0f9a085b7dea6 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:49 p.m.