Triple
T10452896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Country Wife |
E246475
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Horner |
E119793
|
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: Horner | Statement: [The Country Wife, mainCharacter, Horner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horner Context triple: [The Country Wife, mainCharacter, Horner]
-
A.
Horner
chosen
Horner is a surname most famously associated with James Horner, the acclaimed American film composer known for scores such as Titanic and Braveheart.
-
B.
Horners
Horners is a fictional settlement in the Gillikin Country of L. Frank Baum’s Land of Oz universe.
-
C.
Horne
Horne is a small rural village and civil parish in the Tandridge district of Surrey, England.
-
D.
Horne
Horne is a surname most famously associated with Lena Horne, the pioneering African American singer, actress, and civil rights activist.
-
E.
Horcoff
Horcoff is the surname of former Canadian professional ice hockey player and NHL executive Shawn Horcoff.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe0d73d48190acb687b96918e0cf |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f07c9f48190b0fce7740a2e003a |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:17 p.m.