Triple

T14176814
Position Surface form Disambiguated ID Type / Status
Subject Nat Hiken E351352 entity
Predicate familyName P18 FINISHED
Object Hiken
Hiken is a surname most notably associated with Nat Hiken, an American television writer, producer, and director known for classic 1950s and 1960s sitcoms.
 E1084527 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: Hiken | Statement: [Nat Hiken, familyName, Hiken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hiken
Context triple: [Nat Hiken, familyName, Hiken]
  • A. Hakutaka
    Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
  • B. Hieda
    Hieda is a Japanese surname notably associated with historical and literary figures in classical Japanese records and folklore.
  • C. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • D. Hitakatsu
    Hitakatsu is a port town on Tsushima Island in Nagasaki Prefecture, Japan, serving as a key gateway for maritime transport between Japan and South Korea.
  • E. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • 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: Hiken
Triple: [Nat Hiken, familyName, Hiken]
Generated description
Hiken is a surname most notably associated with Nat Hiken, an American television writer, producer, and director known for classic 1950s and 1960s sitcoms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hiken
Target entity description: Hiken is a surname most notably associated with Nat Hiken, an American television writer, producer, and director known for classic 1950s and 1960s sitcoms.
  • A. Hakutaka
    Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
  • B. Hieda
    Hieda is a Japanese surname notably associated with historical and literary figures in classical Japanese records and folklore.
  • C. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • D. Hitakatsu
    Hitakatsu is a port town on Tsushima Island in Nagasaki Prefecture, Japan, serving as a key gateway for maritime transport between Japan and South Korea.
  • E. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61c76e8081909994b95b631100e9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80cdae88190ae987b49218c281d completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd067e73708190adcb4e1c2fbf210d completed May 7, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69fd0c5161dc8190a923c5b00dc5b53a completed May 7, 2026, 10:04 p.m.
Created at: April 10, 2026, 1:02 a.m.