Triple

T22229043
Position Surface form Disambiguated ID Type / Status
Subject Wei Te-sheng E549419 entity
Predicate notableWork P4 FINISHED
Object Seediq Bale NE NERFINISHED

How this triple was built (2 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: Seediq Bale | Statement: [Wei Te-sheng, notableWork, Seediq Bale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seediq Bale
Context triple: [Wei Te-sheng, notableWork, Seediq Bale]
  • A. Seediq
    The Seediq are an indigenous Taiwanese people known for their distinct language, warrior traditions, and resistance to Japanese colonial rule in the early 20th century.
  • B. Seediq Bale (film) chosen
    Seediq Bale is a Taiwanese historical epic film that dramatizes the Seediq indigenous people's resistance against Japanese colonial rule during the early 20th century.
  • C. Fagamalo
    Fagamalo is a coastal village on the island of Savaiʻi in Samoa, known for its traditional Samoan lifestyle and scenic surroundings.
  • D. Saaho
    Saaho is a 2019 Indian action thriller film known for its high-budget production, elaborate action sequences, and starring Prabhas in the lead role.
  • E. Bagha
    Bagha is a beloved fictional drummer and one of the two bumbling yet heroic protagonists from Satyajit Ray’s classic Bengali fantasy film "Goopy Gyne Bagha Byne."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf173308190a3d21bfc59b39728 completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:37 p.m.