Triple
T21524340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Next Stop Wonderland |
E531055
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Brad Anderson |
—
|
NE NERFINISHED |
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: Brad Anderson | Statement: [Next Stop Wonderland, writer, Brad Anderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Anderson Context triple: [Next Stop Wonderland, writer, Brad Anderson]
-
A.
Brad Anderson
chosen
Brad Anderson is an American film and television director known for psychological thrillers and genre films such as "The Machinist" and "Session 9."
-
B.
David Ayers
David Ayers is a stage actor best known for playing Fiyero in the Broadway musical "Wicked."
-
C.
Paul W. S. Anderson
Paul W. S. Anderson is a British film director, producer, and screenwriter best known for genre films such as the Resident Evil series and other science fiction and action movies.
-
D.
George P. Cosmatos
George P. Cosmatos was a Greek-Italian film director known for helming action and genre films such as "Cobra," "Rambo: First Blood Part II," and "Tombstone."
-
E.
Antoine Fuqua
Antoine Fuqua is an American film director and producer best known for directing the crime thriller "Training Day" and numerous action films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884f4504819086bd632e62f02f58 |
completed | April 26, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:26 p.m.