Triple
T17819964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon Larkin |
E444953
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Snot |
—
|
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: Snot | Statement: [Shannon Larkin, associatedAct, Snot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snot Context triple: [Shannon Larkin, associatedAct, Snot]
-
A.
Snot
Snot is a fictional character from the animated television series "American Dad!", known as Steve Smith’s nerdy and often awkward best friend.
-
B.
Snot
chosen
Snot is an American hardcore punk and nu metal band known for its aggressive sound and fusion of punk, metal, and funk elements.
-
C.
Spit
"Spit" is a song from Katy Perry's early Christian rock phase, released under her birth name Katy Hudson.
-
D.
Snitter
Snitter is a small rural village in Northumberland, England, known for its scenic setting within the Coquet Valley near the Northumberland National Park.
-
E.
Goo
Goo is an energetic, talkative girl from the animated series "Foster's Home for Imaginary Friends" known for her overactive imagination and rapid-fire speech.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e489101aa48190a1439d8cb683bba9 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.