Triple
T12374155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellis |
E295079
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Elis |
E71370
|
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: Elis | Statement: [Ellis, hasVariantForm, Elis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elis Context triple: [Ellis, hasVariantForm, Elis]
-
A.
Elis
chosen
Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
-
B.
Elissar
Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
-
C.
Livaneli
Livaneli is the surname of Zülfü Livaneli, a prominent Turkish musician, novelist, and political figure.
-
D.
Meireles
Meireles is a Brazilian surname most prominently associated with Cildo Meireles, a leading contemporary conceptual artist known for his politically charged installations and interventions.
-
E.
Ela
Ela is a feminine given name used in various cultures, often as a short form of names like Eleanor or Elżbieta.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa8ca7c8190b3f8e9c2ec23e837 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac1e82c8190abb46ca5799e6680 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.