Triple
T14507406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Crumb |
E340299
|
entity |
| Predicate | notableCharacterCreated |
P9708
|
FINISHED |
| Object | Fritz the Cat |
E813154
|
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: Fritz the Cat | Statement: [Robert Crumb, notableCharacterCreated, Fritz the Cat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fritz the Cat Context triple: [Robert Crumb, notableCharacterCreated, Fritz the Cat]
-
A.
Fritz the Cat
chosen
Fritz the Cat is an adult animated film and comic character created by Robert Crumb, known for its satirical, countercultural portrayal of 1960s American society.
-
B.
Freaks
"Freaks" is a high-energy electronic dance track by Australian DJ and producer Timmy Trumpet, widely recognized for its catchy horn melody and popularity in clubs and festivals.
-
C.
Mondo Cane
Mondo Cane is a musical project led by Mike Patton that features orchestral arrangements of 1950s and 1960s Italian pop songs.
-
D.
Fat Cats
Fat Cats is a music video director known for directing the video for the song "Grillz."
-
E.
Pecker
Pecker is a 1998 indie comedy film directed by John Waters about a young Baltimore photographer whose quirky snapshots unexpectedly bring him fame.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e40e44819084f323f8f9982b75 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a4660c881908d0cdc27c277ae6b |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:21 a.m.