Triple

T6518885
Position Surface form Disambiguated ID Type / Status
Subject Italian cinema E148329 entity
Predicate notableActor P7010 FINISHED
Object Totò
Totò was a legendary Italian comic actor and performer, celebrated for his influential roles in mid-20th-century film and theater and regarded as one of Italy’s greatest entertainers.
 E604985 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: Totò | Statement: [Italian cinema, notableActor, Totò]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Totò
Context triple: [Italian cinema, notableActor, Totò]
  • A. Totó
    Totó is a young boy who serves as one of the central child protagonists in Gabriel García Márquez’s short story "Light Is Like Water."
  • B. Totó
    Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • C. Alvito
    Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
  • D. Nino
    Nino is the commonly used name of Italian composer Nino Rota, renowned for his film scores including those for Federico Fellini and The Godfather.
  • E. Mimì
    Mimì is the tragic seamstress heroine of Giacomo Puccini's opera "La Bohème," renowned as one of the most beloved soprano roles in the operatic repertoire.
  • 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: Totò
Triple: [Italian cinema, notableActor, Totò]
Generated description
Totò was a legendary Italian comic actor and performer, celebrated for his influential roles in mid-20th-century film and theater and regarded as one of Italy’s greatest entertainers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Totò
Target entity description: Totò was a legendary Italian comic actor and performer, celebrated for his influential roles in mid-20th-century film and theater and regarded as one of Italy’s greatest entertainers.
  • A. Totó
    Totó is a young boy who serves as one of the central child protagonists in Gabriel García Márquez’s short story "Light Is Like Water."
  • B. Totó
    Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • C. Alvito
    Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
  • D. Nino
    Nino is the commonly used name of Italian composer Nino Rota, renowned for his film scores including those for Federico Fellini and The Godfather.
  • E. Mimì
    Mimì is the tragic seamstress heroine of Giacomo Puccini's opera "La Bohème," renowned as one of the most beloved soprano roles in the operatic repertoire.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac11d0e481908103c4b51de9521e completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d51af5308190928c97ceb5d5fa2d completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6d9af148190ad9cd2cc31a70bb7 completed March 27, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6d98506b88190aae3b4d887744648 completed March 27, 2026, 7:24 p.m.
Created at: March 27, 2026, 1:44 p.m.