Triple
T12391729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spaceballs |
E296009
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Steven L. Butler
Steven L. Butler is a film editor best known for his work on the science-fiction parody movie "Spaceballs."
|
E1097473
|
NE FINISHED |
How this triple was built (4 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: Steven L. Butler | Statement: [Spaceballs, editedBy, Steven L. Butler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven L. Butler Context triple: [Spaceballs, editedBy, Steven L. Butler]
-
A.
Michael C. Butler
Michael C. Butler is a cinematographer best known for his work on the blockbuster sequel film "Jaws 2."
-
B.
John K. Butler
John K. Butler was an American screenwriter best known for his work on mid-20th-century Westerns and crime films.
-
C.
Michael J. Weithorn
Michael J. Weithorn is an American television writer and producer best known for creating and working on several sitcoms, including "Ned and Stacey" and "The King of Queens."
-
D.
Daniel P. Livermore
Daniel P. Livermore was the husband of prominent American abolitionist and women's rights advocate Mary Livermore.
-
E.
Stephen G. Bowen
Stephen G. Bowen is a NASA astronaut and former U.S. Navy submariner who has flown multiple Space Shuttle missions and commanded SpaceX Crew-6 to the International Space Station.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Steven L. Butler Triple: [Spaceballs, editedBy, Steven L. Butler]
Generated description
Steven L. Butler is a film editor best known for his work on the science-fiction parody movie "Spaceballs."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steven L. Butler Target entity description: Steven L. Butler is a film editor best known for his work on the science-fiction parody movie "Spaceballs."
-
A.
Michael C. Butler
Michael C. Butler is a cinematographer best known for his work on the blockbuster sequel film "Jaws 2."
-
B.
John K. Butler
John K. Butler was an American screenwriter best known for his work on mid-20th-century Westerns and crime films.
-
C.
Michael J. Weithorn
Michael J. Weithorn is an American television writer and producer best known for creating and working on several sitcoms, including "Ned and Stacey" and "The King of Queens."
-
D.
Daniel P. Livermore
Daniel P. Livermore was the husband of prominent American abolitionist and women's rights advocate Mary Livermore.
-
E.
Stephen G. Bowen
Stephen G. Bowen is a NASA astronaut and former U.S. Navy submariner who has flown multiple Space Shuttle missions and commanded SpaceX Crew-6 to the International Space Station.
- F. None of above. chosen
Provenance (5 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd0bcc48190bb1a59a3aaa6bfdf |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54f264d48190be636796d694ceb1 |
completed | May 8, 2026, 3:13 a.m. |
| NEDg | Description generation | batch_69fd570e482881909532000eebd169d1 |
completed | May 8, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57710f648190a1344ac1363acce1 |
completed | May 8, 2026, 3:24 a.m. |
Created at: April 8, 2026, 9:54 p.m.