Triple
T1185653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elliott |
E25238
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Eliott |
E25238
|
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: Eliott | Statement: [Elliott, hasVariant, Eliott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eliott Context triple: [Elliott, hasVariant, Eliott]
-
A.
Elliott
chosen
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
B.
Ellery
Ellery is the middle name of American solar astronomer George Ellery Hale, a pioneering figure in the development of modern astrophysics and major observatories.
-
C.
Hilaire
Hilaire is a given name associated with the French Impressionist artist Edgar Degas, whose full name was Hilaire-Germain-Edgar Degas.
-
D.
Maurice
Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
-
E.
Eli
Eli is a given name most famously associated with American inventor Eli Whitney, known for creating the cotton gin.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd39245881908766c41943dc2752 |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f6d4e788190b993dc2bdd69ed26 |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:45 p.m.