Triple
T21447246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isaac McCaslin |
E529108
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Pantaloon in Black |
—
|
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: Pantaloon in Black | Statement: [Isaac McCaslin, appearsIn, Pantaloon in Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pantaloon in Black Context triple: [Isaac McCaslin, appearsIn, Pantaloon in Black]
-
A.
Pantaloon in Black
chosen
"Pantaloon in Black" is a short story by William Faulkner that forms part of his collection *Go Down, Moses*, exploring themes of grief, racial tension, and injustice in the American South.
-
B.
The Panties
The Panties is a track by Mos Def featured on his genre-blending album "The New Danger."
-
C.
Black Panties
Black Panties is a 2013 R&B studio album by American singer R. Kelly, known for its sexually explicit themes and contemporary R&B sound.
-
D.
The Pink Dress
The Pink Dress is an 1864 Impressionist painting by Frédéric Bazille depicting a woman in a pink gown standing on a terrace overlooking the countryside.
-
E.
Baggy Trousers
"Baggy Trousers" is a 1980 ska/pop single by the British band Madness, celebrated for its nostalgic lyrics about school days and its energetic, bouncy rhythm.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d04548819086594c20faa5217d |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.