Triple

T18106137
Position Surface form Disambiguated ID Type / Status
Subject Daniel Akaka E433348 entity
Predicate familyName P18 FINISHED
Object Akaka
Akaka is the surname of Daniel Akaka, a prominent Hawaiian-born American politician who served as a U.S. Senator from Hawaii.
 E1306399 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: Akaka | Statement: [Daniel Akaka, familyName, Akaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akaka
Context triple: [Daniel Akaka, familyName, Akaka]
  • A. Kaka’i
    Kaka’i is a Kurdish religious minority community associated with the syncretic Ahl-e Haqq (Yarsan) faith, primarily found in parts of Iraq and Iran.
  • B. Maoka
    Maoka is the former Japanese name of the port town now known as Kholmsk on Russia’s Sakhalin Island.
  • C. Kaʻala
    Kaʻala is the Hawaiian name for Mount Kaʻala, the highest peak on the island of Oʻahu.
  • D. Kahoano
    Kahoano is a Hawaiian surname associated with individuals such as Ikaika Kahoano, reflecting Native Hawaiian heritage and family lineage.
  • E. Sikaiana
    Sikaiana is a small, remote Polynesian atoll in the Solomon Islands whose people and culture are part of the Polynesian outlier communities in Melanesia.
  • 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: Akaka
Triple: [Daniel Akaka, familyName, Akaka]
Generated description
Akaka is the surname of Daniel Akaka, a prominent Hawaiian-born American politician who served as a U.S. Senator from Hawaii.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akaka
Target entity description: Akaka is the surname of Daniel Akaka, a prominent Hawaiian-born American politician who served as a U.S. Senator from Hawaii.
  • A. Kaka’i
    Kaka’i is a Kurdish religious minority community associated with the syncretic Ahl-e Haqq (Yarsan) faith, primarily found in parts of Iraq and Iran.
  • B. Maoka
    Maoka is the former Japanese name of the port town now known as Kholmsk on Russia’s Sakhalin Island.
  • C. Kaʻala
    Kaʻala is the Hawaiian name for Mount Kaʻala, the highest peak on the island of Oʻahu.
  • D. Kahoano
    Kahoano is a Hawaiian surname associated with individuals such as Ikaika Kahoano, reflecting Native Hawaiian heritage and family lineage.
  • E. Sikaiana
    Sikaiana is a small, remote Polynesian atoll in the Solomon Islands whose people and culture are part of the Polynesian outlier communities in Melanesia.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddba6b288190af9a5d9c32d16e98 completed April 19, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c36eea4819089619fd895c05893 completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037e2086708190af48c53800a729fd completed May 12, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a037eba5fb88190b2c131260f28df84 completed May 12, 2026, 7:25 p.m.
Created at: April 10, 2026, 10:28 a.m.