Triple

T13774203
Position Surface form Disambiguated ID Type / Status
Subject Mulan II E330956 entity
Predicate mainCharacter P1183 FINISHED
Object Yao
Yao is one of Mulan’s tough but loyal soldier friends in Disney’s Mulan films, known for his short stature, brash attitude, and fierce loyalty.
E1059991 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: Yao | Statement: [Mulan II, mainCharacter, Yao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yao
Context triple: [Mulan II, mainCharacter, Yao]
  • A. Yao
    Yao is a calm, enigmatic wellness consultant at the remote health resort in Liane Moriarty’s novel (and its TV adaptation) "Nine Perfect Strangers."
  • B. Yao
    Yao is a Chinese surname borne by many notable individuals, including figures in politics, sports, and academia.
  • C. Yao
    Yao is a city in Osaka Prefecture, Japan, known as an industrial and residential hub within the Kansai region.
  • D. Yao
    Yao is a Southern Bantu language spoken primarily in Malawi, Mozambique, and Tanzania by the Yao people.
  • E. Yao
    Yao are an ethnic minority people in southern China and Southeast Asia known for their distinct languages, traditional clothing, and mountain village communities.
  • 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: Yao
Triple: [Mulan II, mainCharacter, Yao]
Generated description
Yao is one of Mulan’s tough but loyal soldier friends in Disney’s Mulan films, known for his short stature, brash attitude, and fierce loyalty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yao
Target entity description: Yao is one of Mulan’s tough but loyal soldier friends in Disney’s Mulan films, known for his short stature, brash attitude, and fierce loyalty.
  • A. Yao
    Yao is a city in Osaka Prefecture, Japan, known as an industrial and residential hub within the Kansai region.
  • B. Yao
    Yao is a Southern Bantu language spoken primarily in Malawi, Mozambique, and Tanzania by the Yao people.
  • C. Yao
    Yao are an ethnic minority people in southern China and Southeast Asia known for their distinct languages, traditional clothing, and mountain village communities.
  • D. Yao
    Yao is a calm, enigmatic wellness consultant at the remote health resort in Liane Moriarty’s novel (and its TV adaptation) "Nine Perfect Strangers."
  • E. Yao
    Yao is a Chinese surname borne by many notable individuals, including figures in politics, sports, and academia.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de023774b48190b19e43e87b94ba77 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86afd788190ab637044dd489a24 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a9f5549c81908a1a0b080acc3396 completed May 3, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69f7aafceea881908737a3d7613db2d5 completed May 3, 2026, 8:07 p.m.
Created at: April 9, 2026, 10:10 p.m.