Triple
T14870708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Tanana |
E349734
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Hän |
E70177
|
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: Hän | Statement: [Upper Tanana, closelyRelatedTo, Hän]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hän Context triple: [Upper Tanana, closelyRelatedTo, Hän]
-
A.
Hän
chosen
Hän is an Athabaskan Indigenous language traditionally spoken by the Hän Hwëch'in people in parts of Yukon, Canada, and Alaska, USA.
-
B.
Henk
Henk is a Dutch male given name commonly used in the Netherlands, often as a short form of Hendrik.
-
C.
Hetta
Hetta is a central, intelligent and strong-willed female character in Anthony Trollope’s novel "The Way We Live Now."
-
D.
Her
"Her" is a lesser-known work by American poet, painter, and City Lights Books co-founder Lawrence Ferlinghetti, reflecting his characteristic Beat-influenced, avant-garde literary style.
-
E.
Her
"Her" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics about love and vulnerability.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded57967748190a7c05ebb74aacb7c |
completed | April 15, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65129a588190bbad294b500f411f |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:55 a.m.