Triple
T14759351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Return to Oz |
E346814
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Brian Henson |
E513581
|
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: Brian Henson | Statement: [Return to Oz, castMember, Brian Henson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Henson Context triple: [Return to Oz, castMember, Brian Henson]
-
A.
Brian Henson
chosen
Brian Henson is an American puppeteer, director, producer, and chairman of The Jim Henson Company, known for his work on various Muppet and fantasy film projects.
-
B.
Jim Henson
Jim Henson was an American puppeteer, filmmaker, and creator of the Muppets, best known for his pioneering work on "The Muppet Show" and "Sesame Street."
-
C.
Lou Henson
Lou Henson was a highly respected American college basketball coach best known for his long, successful tenures at New Mexico State and the University of Illinois, where he became one of the winningest coaches in NCAA history.
-
D.
Frank Oz
Frank Oz is an acclaimed puppeteer, actor, and filmmaker best known for performing iconic Muppet characters and voicing Yoda in the Star Wars franchise.
-
E.
Martin Henson
Martin Henson is the protagonist of the work "Game On," around whom the story’s central events and character development revolve.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feadfd53a48190b7efaa4c470da784 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 1:30 a.m.