Triple
T13467014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compson |
E311529
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | That Evening Sun |
E528791
|
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: That Evening Sun | Statement: [Compson, appearsIn, That Evening Sun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: That Evening Sun Context triple: [Compson, appearsIn, That Evening Sun]
-
A.
That Evening Sun
chosen
"That Evening Sun" is a short story by William Faulkner, noted for its exploration of racial tensions and fear in the American South through the perspective of a child narrator.
-
B.
Go Down, Moses
"Go Down, Moses" is a 1942 collection of interrelated short stories by William Faulkner that explores themes of race, family, and the legacy of the American South through the history of the McCaslin plantation.
-
C.
Dry September
"Dry September" is a short story by William Faulkner that explores racial tension, rumor, and mob violence in a small Southern town.
-
D.
Light of the South
Light of the South is the English rendering of the Japanese name given to Singapore during its World War II occupation.
-
E.
Go Down Dead
Go Down Dead is a hardboiled crime novel by Shane Stevens, known for its gritty depiction of urban gang life and psychological realism.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf101a1081909f2aba6da47baacc |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f746282318819090e47c324807dc1e |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.