Triple

T13831784
Position Surface form Disambiguated ID Type / Status
Subject One Day as a Lion E332414 entity
Predicate producer P490 FINISHED
Object Mario C.
Mario C. is a music producer best known for his work on the project One Day as a Lion.
E1064823 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: Mario C. | Statement: [One Day as a Lion, producer, Mario C.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario C.
Context triple: [One Day as a Lion, producer, Mario C.]
  • A. Mario Pino
    Mario Pino is a Chilean archaeologist and geologist best known for his role in uncovering and studying the early human settlement site of Monte Verde in southern Chile.
  • B. Mario Pani
    Mario Pani was a prominent 20th-century Mexican architect and urban planner known for his influential modernist housing complexes and large-scale urban projects in Mexico City.
  • C. Luigi
    Luigi is a timid yet heroic green-clad plumber from Nintendo’s Mario franchise, known as Mario’s younger brother and frequent co-adventurer.
  • D. Luigi
    Luigi is the birth name of Hall of Fame basketball coach Geno Auriemma, renowned for leading the University of Connecticut women's team to multiple national championships.
  • E. Luigi
    Luigi is a small, enthusiastic Italian Fiat 500 who runs a tire shop and provides comic relief in Pixar's Cars franchise.
  • 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: Mario C.
Triple: [One Day as a Lion, producer, Mario C.]
Generated description
Mario C. is a music producer best known for his work on the project One Day as a Lion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mario C.
Target entity description: Mario C. is a music producer best known for his work on the project One Day as a Lion.
  • A. Mario Pino
    Mario Pino is a Chilean archaeologist and geologist best known for his role in uncovering and studying the early human settlement site of Monte Verde in southern Chile.
  • B. Mario Pani
    Mario Pani was a prominent 20th-century Mexican architect and urban planner known for his influential modernist housing complexes and large-scale urban projects in Mexico City.
  • C. Luigi
    Luigi is a timid yet heroic green-clad plumber from Nintendo’s Mario franchise, known as Mario’s younger brother and frequent co-adventurer.
  • D. Luigi
    Luigi is the birth name of Hall of Fame basketball coach Geno Auriemma, renowned for leading the University of Connecticut women's team to multiple national championships.
  • E. Luigi
    Luigi is a small, enthusiastic Italian Fiat 500 who runs a tire shop and provides comic relief in Pixar's Cars franchise.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8efe0948190aaf972cccc2ebc90 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b9d928ac81908867a99740d6c3a0 completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba6b2c208190b01e3a5ae872b14f completed May 3, 2026, 9:13 p.m.
Created at: April 9, 2026, 10:13 p.m.