Triple
T14027408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kake, Alaska |
E337496
|
entity |
| Predicate | hasIndigenousName |
P1435
|
FINISHED |
| Object |
Keex’ Kwaan
Keex’ Kwaan is the traditional Tlingit name for the Indigenous community and homeland associated with present-day Kake, Alaska.
|
E1076439
|
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: Keex’ Kwaan | Statement: [Kake, Alaska, hasIndigenousName, Keex’ Kwaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keex’ Kwaan Context triple: [Kake, Alaska, hasIndigenousName, Keex’ Kwaan]
-
A.
Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
-
B.
Kee
Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
-
C.
Kayo
Kayo is a contributor to the Tender Lover project, likely involved in its creative or developmental work.
-
D.
X̱aad Kíl
X̱aad Kíl is the Haida language, an Indigenous language of the Haida people of Haida Gwaii and southern Alaska.
-
E.
Keechie
Keechie is a central character in the 1948 film noir "They Live by Night," known as the compassionate young woman who falls in love with a fugitive and dreams of escaping their criminal world.
- 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: Keex’ Kwaan Triple: [Kake, Alaska, hasIndigenousName, Keex’ Kwaan]
Generated description
Keex’ Kwaan is the traditional Tlingit name for the Indigenous community and homeland associated with present-day Kake, Alaska.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keex’ Kwaan Target entity description: Keex’ Kwaan is the traditional Tlingit name for the Indigenous community and homeland associated with present-day Kake, Alaska.
-
A.
Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
-
B.
Kee
Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
-
C.
Kayo
Kayo is a contributor to the Tender Lover project, likely involved in its creative or developmental work.
-
D.
X̱aad Kíl
X̱aad Kíl is the Haida language, an Indigenous language of the Haida people of Haida Gwaii and southern Alaska.
-
E.
Keechie
Keechie is a central character in the 1948 film noir "They Live by Night," known as the compassionate young woman who falls in love with a fugitive and dreams of escaping their criminal world.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa830ac81908cb7df7c9e81e42a |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc333b7a08190b4f121fef69f7513 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fc438f85308190ae917812686006f6 |
completed | May 7, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444630408190b368611373265973 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:20 p.m.