Triple
T14710093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Muppet Movie |
E345525
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
James Frawley
James Frawley was an American director and actor best known for his work in film and television comedy, including directing the original Muppet feature film.
|
E1123343
|
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: James Frawley | Statement: [The Muppet Movie, director, James Frawley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Frawley Context triple: [The Muppet Movie, director, James Frawley]
-
A.
John Early
John Early is an American comedian and actor known for his offbeat, absurdist performances in film, television, and live comedy, frequently collaborating with fellow comic Kate Berlant.
-
B.
John Early
John Early was a notable figure significant enough in local history or society that the community of Earlysville, Virginia, was named in his honor.
-
C.
Martin Mull
Martin Mull is an American actor, comedian, and musician known for his dry wit and roles in television comedies and films.
-
D.
Sam Fields
Sam Fields is known primarily as the husband of acclaimed American film editor Verna Fields.
-
E.
Paul Margulies
Paul Margulies was an American advertising executive and writer, best known as the father of actress Julianna Margulies.
- 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: James Frawley Triple: [The Muppet Movie, director, James Frawley]
Generated description
James Frawley was an American director and actor best known for his work in film and television comedy, including directing the original Muppet feature film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Frawley Target entity description: James Frawley was an American director and actor best known for his work in film and television comedy, including directing the original Muppet feature film.
-
A.
John Early
John Early is an American comedian and actor known for his offbeat, absurdist performances in film, television, and live comedy, frequently collaborating with fellow comic Kate Berlant.
-
B.
John Early
John Early was a notable figure significant enough in local history or society that the community of Earlysville, Virginia, was named in his honor.
-
C.
Martin Mull
Martin Mull is an American actor, comedian, and musician known for his dry wit and roles in television comedies and films.
-
D.
Sam Fields
Sam Fields is known primarily as the husband of acclaimed American film editor Verna Fields.
-
E.
Paul Margulies
Paul Margulies was an American advertising executive and writer, best known as the father of actress Julianna Margulies.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb9814e0c8190984ac30d276499cc |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64ee4284819093db172023e9fe87 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe666122ec8190b650141e3c062294 |
completed | May 8, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe66be64808190bab35f07d556d446 |
completed | May 8, 2026, 10:42 p.m. |
Created at: April 10, 2026, 1:28 a.m.