Triple
T15712455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hina |
E380872
|
entity |
| Predicate | hasVariantName |
P457
|
FINISHED |
| Object | Hine |
E545016
|
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: Hine | Statement: [Hina, hasVariantName, Hine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hine Context triple: [Hina, hasVariantName, Hine]
-
A.
Hine
chosen
Hine is a surname of English origin borne by various notable individuals, including figures in the arts, sports, and public life.
-
B.
Pianka
Pianka is the surname of Eric R. Pianka, an influential American ecologist known for his work on lizard ecology and evolutionary biology.
-
C.
Kea
Kea is a Greek island in the western Cyclades known for its traditional villages, hiking trails, and proximity to Athens.
-
D.
Riwia Brown
Riwia Brown is a New Zealand screenwriter best known for adapting Alan Duff’s novel into the acclaimed film "Once Were Warriors."
-
E.
Seba
Seba is a common short form or nickname for the given name Sebastián, frequently used in Spanish-speaking countries.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8f5d6081908243fa59b46b7c76 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757f571881908015fe68df2a5e69 |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.