Triple
T17909785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eggscellent |
E447790
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Muscle Man |
—
|
NE NERFINISHED |
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: Muscle Man | Statement: [Eggscellent, featuresCharacter, Muscle Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muscle Man Context triple: [Eggscellent, featuresCharacter, Muscle Man]
-
A.
Muscle Man
chosen
Muscle Man is a loud, overweight, green-skinned groundskeeper known for his crude humor and "my mom" jokes in the animated series Regular Show.
-
B.
Mr Muscle
Mr Muscle is a household cleaning product brand known for its range of powerful cleaners for kitchens, bathrooms, and other hard surfaces.
-
C.
Macho Man
"Macho Man" is a 1978 disco hit by the Village People, celebrated for its campy macho imagery and enduring status as a gay anthem and pop-culture staple.
-
D.
Bigman
Bigman is the nickname of Bigman Jones, likely used to highlight his large physical presence or commanding personality.
-
E.
El Macho
El Macho is a bombastic, villainous character from the Despicable Me franchise known for his over-the-top machismo and schemes against Gru.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9f4f888190840c8b55672becf8 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.