Triple

T1086438
Position Surface form Disambiguated ID Type / Status
Subject Che! (1969 film) E24061 entity
Predicate title P38 FINISHED
Object Che!
Che! is a 1969 biographical war drama film depicting the life and revolutionary activities of Argentine Marxist guerrilla leader Che Guevara.
 E125031 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: Che! | Statement: [Che! (1969 film), title, Che!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Che!
Context triple: [Che! (1969 film), title, Che!]
  • A. Chaka
    "Chaka" is the 1978 debut solo album by American singer Chaka Khan, showcasing her blend of funk, soul, and R&B.
  • B. Chan
    Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
  • C. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • D. Geez
    Geez is an ancient South Semitic language of Ethiopia and Eritrea, best known today as the liturgical language of the Ethiopian and Eritrean Orthodox Tewahedo Churches.
  • E. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • 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: Che!
Triple: [Che! (1969 film), title, Che!]
Generated description
Che! is a 1969 biographical war drama film depicting the life and revolutionary activities of Argentine Marxist guerrilla leader Che Guevara.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Che!
Target entity description: Che! is a 1969 biographical war drama film depicting the life and revolutionary activities of Argentine Marxist guerrilla leader Che Guevara.
  • A. Chaka
    "Chaka" is the 1978 debut solo album by American singer Chaka Khan, showcasing her blend of funk, soul, and R&B.
  • B. Chan
    Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
  • C. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • D. Geez
    Geez is an ancient South Semitic language of Ethiopia and Eritrea, best known today as the liturgical language of the Ethiopian and Eritrean Orthodox Tewahedo Churches.
  • E. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b963161081908a523c8d63871652 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42b1de9c8190ba5a4a0283034367 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac43a06d3c819087cc9b92012bb979 completed March 7, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ac4779f86c819096d639a9a5df61a6 completed March 7, 2026, 3:42 p.m.
Created at: March 1, 2026, 7:42 p.m.