Triple

T15114928
Position Surface form Disambiguated ID Type / Status
Subject Luciano Martino E361010 entity
Predicate notableWork P4 FINISHED
Object Giovannona Long-Thigh
Giovannona Long-Thigh is a 1973 Italian sex-comedy film, emblematic of the commedia sexy all’italiana genre.
E1138982 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: Giovannona Long-Thigh | Statement: [Luciano Martino, notableWork, Giovannona Long-Thigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giovannona Long-Thigh
Context triple: [Luciano Martino, notableWork, Giovannona Long-Thigh]
  • A. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • B. Alessandra
    Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
  • C. Liana Dognini
    Liana Dognini is a screenwriter best known for co-writing the film adaptation of the novel "Morvern Callar."
  • D. Isaura Palaia
    Isaura Palaia was an ancient city of the Isauria region in Asia Minor, known as one of its principal urban centers in classical antiquity.
  • E. Leona Vicario
    Leona Vicario was a prominent Mexican independence heroine, journalist, and supporter of the insurgent cause against Spanish rule in the early 19th century.
  • 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: Giovannona Long-Thigh
Triple: [Luciano Martino, notableWork, Giovannona Long-Thigh]
Generated description
Giovannona Long-Thigh is a 1973 Italian sex-comedy film, emblematic of the commedia sexy all’italiana genre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Giovannona Long-Thigh
Target entity description: Giovannona Long-Thigh is a 1973 Italian sex-comedy film, emblematic of the commedia sexy all’italiana genre.
  • A. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • B. Alessandra
    Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
  • C. Liana Dognini
    Liana Dognini is a screenwriter best known for co-writing the film adaptation of the novel "Morvern Callar."
  • D. Isaura Palaia
    Isaura Palaia was an ancient city of the Isauria region in Asia Minor, known as one of its principal urban centers in classical antiquity.
  • E. Leona Vicario
    Leona Vicario was a prominent Mexican independence heroine, journalist, and supporter of the insurgent cause against Spanish rule in the early 19th century.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eee6e8819092657c4006456135 completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69febbdadec4819094ca57a4f9ab5009 completed May 9, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69febca121a48190ae6994e90b0e040c completed May 9, 2026, 4:48 a.m.
Created at: April 10, 2026, 3:05 a.m.