Triple
T10286582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillikin Country |
E241242
|
entity |
| Predicate | hasNotablePlace |
P10233
|
FINISHED |
| Object |
Horners
Horners is a fictional settlement in the Gillikin Country of L. Frank Baum’s Land of Oz universe.
|
E852154
|
NE FINISHED |
How this triple was built (4 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: Horners | Statement: [Gillikin Country, hasNotablePlace, Horners]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horners Context triple: [Gillikin Country, hasNotablePlace, Horners]
-
A.
Horner
Horner is a surname most famously associated with James Horner, the acclaimed American film composer known for scores such as Titanic and Braveheart.
-
B.
Horne
Horne is a small rural village and civil parish in the Tandridge district of Surrey, England.
-
C.
Horne
Horne is a surname most famously associated with Lena Horne, the pioneering African American singer, actress, and civil rights activist.
-
D.
Horns
Horns is a dark fantasy-horror novel by Joe Hill that follows a man who mysteriously grows devilish horns and gains disturbing supernatural powers after being accused of his girlfriend’s murder.
-
E.
Horn
Horn is a surname most prominently associated with English music producer and musician Trevor Horn, known for his influential work in pop and rock music.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Horners Triple: [Gillikin Country, hasNotablePlace, Horners]
Generated description
Horners is a fictional settlement in the Gillikin Country of L. Frank Baum’s Land of Oz universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Horners Target entity description: Horners is a fictional settlement in the Gillikin Country of L. Frank Baum’s Land of Oz universe.
-
A.
Horner
Horner is a surname most famously associated with James Horner, the acclaimed American film composer known for scores such as Titanic and Braveheart.
-
B.
Horne
Horne is a surname most famously associated with Lena Horne, the pioneering African American singer, actress, and civil rights activist.
-
C.
Horne
Horne is a small rural village and civil parish in the Tandridge district of Surrey, England.
-
D.
Horns
Horns is a dark fantasy-horror novel by Joe Hill that follows a man who mysteriously grows devilish horns and gains disturbing supernatural powers after being accused of his girlfriend’s murder.
-
E.
Horn
Horn is a surname most prominently associated with English music producer and musician Trevor Horn, known for his influential work in pop and rock music.
- F. None of above. chosen
Provenance (5 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b8343c819087c50e5471c46e3f |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f84d432c8190a7d33e6c9f8ba8f2 |
completed | April 9, 2026, 12:52 a.m. |
| NEDg | Description generation | batch_69d6fcaee26c8190a19f7d07a63531f6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd879ab88190b0a47295f5d7ad4d |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:40 a.m.