Triple
T12449062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Illusionist |
E297481
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Neil Burger |
E865696
|
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: Neil Burger | Statement: [The Illusionist, director, Neil Burger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neil Burger Context triple: [The Illusionist, director, Neil Burger]
-
A.
Neil Burger
chosen
Neil Burger is an American film director and screenwriter known for character-driven dramas and genre films such as "The Illusionist," "Limitless," and "Divergent."
-
B.
Ken Biller
Ken Biller is a television writer, producer, and director best known for his work on series such as "Star Trek: Voyager" and "Genius."
-
C.
Michael Cuesta
Michael Cuesta is an American film and television director and producer known for his work on series such as Homeland, Dexter, and Six Feet Under.
-
D.
Alan Burgess
Alan Burgess was a British author and screenwriter best known for writing the book that inspired the film "The Inn of the Sixth Happiness."
-
E.
Michael Flanagan
Michael Flanagan is a common personal name shared by multiple individuals, including professionals in fields such as sports, politics, and the arts.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9e592c81908cf7f3ca170d942c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ea710d481908371209cb92502a6 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:56 p.m.