Triple

T11935044
Position Surface form Disambiguated ID Type / Status
Subject 毛泽民 E284016 entity
Predicate familyName P18 FINISHED
Object 毛
毛 is a common Chinese surname borne by numerous historical and contemporary figures across politics, culture, and other fields.
 E954851 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: 毛 | Statement: [毛泽民, familyName, 毛]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 毛
Context triple: [毛泽民, familyName, 毛]
  • A. Hair
    Hair is a 1979 musical anti-war film directed by Miloš Forman, adapted from the 1960s stage musical and known for its portrayal of the hippie counterculture and Vietnam War–era America.
  • B. Fur
    Fur is a small Danish island in the Limfjord, renowned for its dramatic cliffs, fossil-rich moler clay deposits, and scenic coastal landscapes.
  • C. Fur
    Fur is a Nilo-Saharan language spoken primarily by the Fur people of western Sudan’s Darfur region.
  • D. 艾
    艾 is a common Chinese character used both as a surname and in words related to mugwort, love, or sorrow, depending on context.
  • E. 林
    林 is a common Chinese character and surname meaning “forest,” composed of two “tree” radicals and widely used across East Asian languages.
  • 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: 毛
Triple: [毛泽民, familyName, 毛]
Generated description
毛 is a common Chinese surname borne by numerous historical and contemporary figures across politics, culture, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 毛
Target entity description: 毛 is a common Chinese surname borne by numerous historical and contemporary figures across politics, culture, and other fields.
  • A. Hair
    Hair is a 1979 musical anti-war film directed by Miloš Forman, adapted from the 1960s stage musical and known for its portrayal of the hippie counterculture and Vietnam War–era America.
  • B. Fur
    Fur is a small Danish island in the Limfjord, renowned for its dramatic cliffs, fossil-rich moler clay deposits, and scenic coastal landscapes.
  • C. Fur
    Fur is a Nilo-Saharan language spoken primarily by the Fur people of western Sudan’s Darfur region.
  • D. 艾
    艾 is a common Chinese character used both as a surname and in words related to mugwort, love, or sorrow, depending on context.
  • E. 林
    林 is a common Chinese character and surname meaning “forest,” composed of two “tree” radicals and widely used across East Asian languages.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90306fcf48190a963d2d1932288d1 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4408d497c8190b051225140125e1f completed May 1, 2026, 5:56 a.m.
NEDg Description generation batch_69f448fc874081908fe05f9d8aff11a3 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44afdc7b08190bdf47cfcb94c34c8 completed May 1, 2026, 6:41 a.m.
Created at: April 8, 2026, 9:45 p.m.