Triple
T13645475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scooter |
E326089
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
J.P. Grosse
J.P. Grosse is a character from The Muppets franchise, known as Scooter’s gruff and business-minded uncle who owns the theater.
|
E1070724
|
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: J.P. Grosse | Statement: [Scooter, hasRelative, J.P. Grosse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J.P. Grosse Context triple: [Scooter, hasRelative, J.P. Grosse]
-
A.
Paul Groesse
Paul Groesse was an Academy Award–winning Hollywood art director known for his work on classic mid-20th-century films.
-
B.
Ben Grosse
Ben Grosse is an American record producer and mixer known for his work on major rock and metal albums by artists such as Marilyn Manson, Sevendust, and Disturbed.
-
C.
Nigel Glockler
Nigel Glockler is an English drummer best known for his long-standing role in the heavy metal band Saxon.
-
D.
James Scheffer
James Scheffer, better known as Jim Jonsin, is an American record producer and songwriter recognized for crafting hit tracks across hip hop and pop music.
-
E.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
- 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: J.P. Grosse Triple: [Scooter, hasRelative, J.P. Grosse]
Generated description
J.P. Grosse is a character from The Muppets franchise, known as Scooter’s gruff and business-minded uncle who owns the theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: J.P. Grosse Target entity description: J.P. Grosse is a character from The Muppets franchise, known as Scooter’s gruff and business-minded uncle who owns the theater.
-
A.
Paul Groesse
Paul Groesse was an Academy Award–winning Hollywood art director known for his work on classic mid-20th-century films.
-
B.
Ben Grosse
Ben Grosse is an American record producer and mixer known for his work on major rock and metal albums by artists such as Marilyn Manson, Sevendust, and Disturbed.
-
C.
Nigel Glockler
Nigel Glockler is an English drummer best known for his long-standing role in the heavy metal band Saxon.
-
D.
James Scheffer
James Scheffer, better known as Jim Jonsin, is an American record producer and songwriter recognized for crafting hit tracks across hip hop and pop music.
-
E.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce60b1248190addfbfc1c5ccd2d1 |
completed | May 3, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69f7cfe8dca08190825b8e1bbfe411a6 |
completed | May 3, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb5504702081908a1492f1a8e24434 |
completed | May 6, 2026, 2:49 p.m. |
Created at: April 9, 2026, 9:51 p.m.