Triple
T23560563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Hunt |
E579224
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Sweetums |
—
|
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: Sweetums | Statement: [Richard Hunt, notableCharacter, Sweetums]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweetums Context triple: [Richard Hunt, notableCharacter, Sweetums]
-
A.
Sweetums
chosen
Sweetums is a large, shaggy, ogre-like Muppet character known for his imposing appearance and surprisingly gentle, lovable personality.
-
B.
Sweet Candy
Sweet Candy is a track from AC/DC's 2014 hard rock album "Rock or Bust."
-
C.
Sweetarts
Sweetarts are a popular American candy consisting of tangy, fruit-flavored compressed sugar tablets known for their sweet-and-sour taste.
-
D.
Sweet Things
Sweet Things is a 1966 rhythm and blues/jazz-influenced album by British singer and keyboardist Georgie Fame.
-
E.
Sweets to the Sweet
"Sweets to the Sweet" is a song by the band Downtown Rockers, known for its punk-influenced rock sound and energetic style.
- 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af680ee88190a23a6f9fed7ae757 |
completed | April 29, 2026, 7:12 a.m. |
Created at: April 17, 2026, 6:15 p.m.