Triple

T16177140
Position Surface form Disambiguated ID Type / Status
Subject Nancy Kwan E392592 entity
Predicate notableWork P4 FINISHED
Object Tamahine
Tamahine is a 1963 British comedy film in which Nancy Kwan stars as a free-spirited Polynesian girl who disrupts life at an English boys' boarding school.
 E1197161 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: Tamahine | Statement: [Nancy Kwan, notableWork, Tamahine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tamahine
Context triple: [Nancy Kwan, notableWork, Tamahine]
  • A. Tainai
    Tainai is a city in northern Japan known for its rural landscapes, agriculture, and proximity to the Sea of Japan within Niigata Prefecture.
  • B. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • C. Wahatoya
    Wahatoya is the traditional name for Colorado’s twin Spanish Peaks, a prominent pair of volcanic mountains that serve as a well-known landmark on the eastern flank of the Sangre de Cristo Range.
  • D. Taketa
    Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
  • E. Tanimaiaki
    Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
  • 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: Tamahine
Triple: [Nancy Kwan, notableWork, Tamahine]
Generated description
Tamahine is a 1963 British comedy film in which Nancy Kwan stars as a free-spirited Polynesian girl who disrupts life at an English boys' boarding school.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tamahine
Target entity description: Tamahine is a 1963 British comedy film in which Nancy Kwan stars as a free-spirited Polynesian girl who disrupts life at an English boys' boarding school.
  • A. Tainai
    Tainai is a city in northern Japan known for its rural landscapes, agriculture, and proximity to the Sea of Japan within Niigata Prefecture.
  • B. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • C. Wahatoya
    Wahatoya is the traditional name for Colorado’s twin Spanish Peaks, a prominent pair of volcanic mountains that serve as a well-known landmark on the eastern flank of the Sangre de Cristo Range.
  • D. Taketa
    Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
  • E. Tanimaiaki
    Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22059e7048190b4592cb1516b5f8d completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7c11bc881909211a668f48092aa completed May 10, 2026, 3:13 a.m.
NEDg Description generation batch_69fff83b56288190a139f6fbf7b4d1b3 completed May 10, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69fff89eb66481909441b9bdfcada550 completed May 10, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:02 a.m.