Triple
T12183175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muppets |
E290269
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Miss Piggy |
E326080
|
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: Miss Piggy | Statement: [Muppets, hasPart, Miss Piggy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miss Piggy Context triple: [Muppets, hasPart, Miss Piggy]
-
A.
Miss Piggy
chosen
Miss Piggy is a glamorous, temperamental, and karate-chopping Muppet diva best known for her unrequited love for Kermit the Frog and her over-the-top personality.
-
B.
Bianca Castafiore
Bianca Castafiore is a flamboyant opera singer, nicknamed the "Milanese Nightingale," who frequently appears as a comic and dramatic figure in Hergé’s Tintin comics.
-
C.
Kermit
Kermit is a masculine given name most famously associated with the Muppet frog character created by Jim Henson.
-
D.
Kermit Tyler
Kermit Tyler was a U.S. Army Air Forces officer best known for his controversial role as a radar officer during the Pearl Harbor attack on December 7, 1941.
-
E.
Elmyra Duff
Elmyra Duff is an overenthusiastic, animal-obsessed girl from the animated series Tiny Toon Adventures, known for smothering pets with her misguided affection.
- 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.