Triple
T19808190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawn McCarthy |
E475870
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Faun Fables |
—
|
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: Faun Fables | Statement: [Dawn McCarthy, knownFor, Faun Fables]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faun Fables Context triple: [Dawn McCarthy, knownFor, Faun Fables]
-
A.
Faun Fables
chosen
Faun Fables is an experimental folk music project known for its theatrical, mythic storytelling and eclectic blend of traditional and avant-garde influences.
-
B.
The Faun
The Faun is a Symbolist artwork by Carlos Schwabe that exemplifies his mystical, dreamlike style and fascination with mythological themes.
-
C.
The Faun
The Faun is a stage play by Edward Knoblock, best known as an early 20th-century theatrical work blending fantasy elements with social comedy.
-
D.
A Fable
A Fable is a complex, allegorical novel by William Faulkner that reimagines World War I through a moral and religious lens, exploring themes of sacrifice, authority, and rebellion.
-
E.
Wild Fable
Wild Fable is a Target-exclusive fashion brand offering trendy, affordable clothing and accessories primarily aimed at younger shoppers.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65429fec8819091e20908101b50eb |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.