Triple

T559352
Position Surface form Disambiguated ID Type / Status
Subject Gwich’in E13412 entity
Predicate hasNeighboringLanguages P16383 FINISHED
Object Hän
Hän is an Athabaskan Indigenous language traditionally spoken by the Hän Hwëch'in people in parts of Yukon, Canada, and Alaska, USA.
 E70177 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: Hän | Statement: [Gwich’in, hasNeighboringLanguages, Hän]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hän
Context triple: [Gwich’in, hasNeighboringLanguages, Hän]
  • A. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • B. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • C. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • D. Hanna Lejonqvist
    Hanna Lejonqvist is a film editor known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
  • E. Hanna Alström
    Hanna Alström is a Swedish actress best known internationally for her role as Princess Tilde in the action-comedy film "Kingsman: The Secret Service" and its sequel.
  • 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: Hän
Triple: [Gwich’in, hasNeighboringLanguages, Hän]
Generated description
Hän is an Athabaskan Indigenous language traditionally spoken by the Hän Hwëch'in people in parts of Yukon, Canada, and Alaska, USA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hän
Target entity description: Hän is an Athabaskan Indigenous language traditionally spoken by the Hän Hwëch'in people in parts of Yukon, Canada, and Alaska, USA.
  • A. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • B. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • C. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • D. Hanna Lejonqvist
    Hanna Lejonqvist is a film editor known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
  • E. Hanna Alström
    Hanna Alström is a Swedish actress best known internationally for her role as Princess Tilde in the action-comedy film "Kingsman: The Secret Service" and its sequel.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d28af148190acad3cfb809ff2f2 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e9bb3b28819099ed0027d948483a completed March 2, 2026, 1:36 a.m.
NEDg Description generation batch_69a4eab98cf08190a0923f42e42667ed completed March 2, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_69a4eb14d6d88190885d6eac9dfc3db8 completed March 2, 2026, 1:42 a.m.
Created at: March 1, 2026, 7:32 p.m.