Triple
T17220010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton |
E417952
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Daytan
Daytan is an alternative spelling of the given name Dayton, typically used as a modern, stylistic variation.
|
E1257737
|
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: Daytan | Statement: [Dayton, hasVariantSpelling, Daytan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daytan Context triple: [Dayton, hasVariantSpelling, Daytan]
-
A.
Deabolis
Deabolis was a medieval Balkan town of strategic importance in the Byzantine–Norman conflicts, known as the site where the Treaty of Devol was concluded.
-
B.
Satana
Satana is a town in the Nashik district of Maharashtra, India, known for its agricultural markets and proximity to several religious and historical sites.
-
C.
Shatana
Shatana is a character from the Nart sagas, the traditional epic cycle of the North Caucasus peoples.
-
D.
Sheitan
Sheitan is a 2006 French horror film directed by Kim Chapiron, known for its disturbing blend of dark humor and satanic themes, featuring Vincent Cassel in a memorable, unsettling role.
-
E.
Šatan
Šatan is a Slovak surname most famously borne by Miroslav Šatan, a prominent former professional ice hockey player and national team star.
- 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: Daytan Triple: [Dayton, hasVariantSpelling, Daytan]
Generated description
Daytan is an alternative spelling of the given name Dayton, typically used as a modern, stylistic variation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daytan Target entity description: Daytan is an alternative spelling of the given name Dayton, typically used as a modern, stylistic variation.
-
A.
Deabolis
Deabolis was a medieval Balkan town of strategic importance in the Byzantine–Norman conflicts, known as the site where the Treaty of Devol was concluded.
-
B.
Satana
Satana is a town in the Nashik district of Maharashtra, India, known for its agricultural markets and proximity to several religious and historical sites.
-
C.
Shatana
Shatana is a character from the Nart sagas, the traditional epic cycle of the North Caucasus peoples.
-
D.
Sheitan
Sheitan is a 2006 French horror film directed by Kim Chapiron, known for its disturbing blend of dark humor and satanic themes, featuring Vincent Cassel in a memorable, unsettling role.
-
E.
Šatan
Šatan is a Slovak surname most famously borne by Miroslav Šatan, a prominent former professional ice hockey player and national team star.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddd52d4819098b51d55e063c8ab |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675553b88190a04987b0de62cb15 |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0169e5f7e881909cb3fe35935d888d |
completed | May 11, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016a46409881908ea7e93fd31cd5c5 |
completed | May 11, 2026, 5:33 a.m. |
Created at: April 10, 2026, 5:38 a.m.