Triple
T12183179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muppets |
E290269
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Scooter |
E326089
|
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: Scooter | Statement: [Muppets, hasPart, Scooter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scooter Context triple: [Muppets, hasPart, Scooter]
-
A.
Scooter
chosen
Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
-
B.
Scooter
"Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
-
C.
SCOOTER
SCOOTER is the radio callsign used by the airline Scoot for its flight operations and air traffic communications.
-
D.
Scrambler
Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
-
E.
Scooter Barry
Scooter Barry is an American former professional basketball player best known for his college career at the University of Kansas and as a member of the prominent Barry basketball family.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d915fd8dac8190928059ad2b6bbbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6acee6481908ee4129956c98c52 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.