Triple
T9780566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankie Faison |
E237357
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Village |
E89074
|
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: The Village | Statement: [Frankie Faison, notableWork, The Village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Village Context triple: [Frankie Faison, notableWork, The Village]
-
A.
The Village
The Village is a themed area within the Dollywood amusement park featuring shops, attractions, and classic Smoky Mountain charm.
-
B.
The Village
The Village is a small residential city in central Oklahoma that functions largely as a suburb of Oklahoma City.
-
C.
The Village
The Village is a British television series in which Abigail Cruttenden appeared, depicting life in an English village across the 20th century.
-
D.
The Village
chosen
The Village is a 2004 psychological thriller film directed by M. Night Shyamalan, known for its isolated 19th-century-style community, eerie atmosphere, and twist-driven narrative.
-
E.
The Village
"The Village" is a novel by William Faulkner that explores life, class, and moral decay in the fictional Yoknapatawpha County through the rise of the ambitious Flem Snopes.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b0b15881909ef52d0156148c59 |
completed | April 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd28b0e48190984cf44d88f324d7 |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:27 p.m.