Triple
T14730594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great Muppet Caper |
E346060
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Tom Patchett |
E1121353
|
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: Tom Patchett | Statement: [The Great Muppet Caper, storyBy, Tom Patchett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Patchett Context triple: [The Great Muppet Caper, storyBy, Tom Patchett]
-
A.
Tom Patchett
chosen
Tom Patchett is an American television writer, producer, and director best known for co-creating the sitcom "ALF" and contributing to various comedy series and films.
-
B.
Patrick Wendell
Patrick Wendell is a co-founder of Databricks and a key contributor to the Apache Spark ecosystem.
-
C.
Anthony Patch
Anthony Patch is the dissolute, inheritance-obsessed protagonist of F. Scott Fitzgerald’s novel "The Beautiful and Damned," whose decline embodies the moral and social excesses of Jazz Age New York.
-
D.
Verne Brown
Verne Brown is one of the time-traveling sons of Dr. Emmett Brown featured in the Back to the Future franchise.
-
E.
Paul Huston
Paul Huston, better known by his stage name The Grym Reaper, is a hip-hop producer and DJ recognized for his work in the underground rap scene.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26311c8819093a81ff0fa43b33b |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe388792688190b1b6eaa8091733fb |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:29 a.m.