Triple

T4293854
Position Surface form Disambiguated ID Type / Status
Subject Luchino Visconti E99659 entity
Predicate directedFilm P13455 FINISHED
Object Sandra
Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
 E430597 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: Sandra | Statement: [Luchino Visconti, directedFilm, Sandra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sandra
Context triple: [Luchino Visconti, directedFilm, Sandra]
  • A. Sandra
    Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
  • B. Sondra
    Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
  • C. Adrienne
    Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
  • D. Sandra Tilley
    Sandra Tilley was an American singer best known as a later member of the Motown girl group Martha and the Vandellas.
  • E. Paula
    Paula is the custom audio and I/O coprocessor used in Commodore Amiga computers, responsible for sound generation and handling certain input/output functions.
  • 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: Sandra
Triple: [Luchino Visconti, directedFilm, Sandra]
Generated description
Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sandra
Target entity description: Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
  • A. Sandra
    Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
  • B. Sondra
    Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
  • C. Adrienne
    Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
  • D. Sandra Tilley
    Sandra Tilley was an American singer best known as a later member of the Motown girl group Martha and the Vandellas.
  • E. Paula
    Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35083f87c8190a3d3b323e76ab575 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d06fc60c8190a21fdfed689dac53 completed March 14, 2026, 9:17 p.m.
NEDg Description generation batch_69b5d14748108190a6f5d4aebaa83ed6 completed March 14, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69b5d1b610888190bccace493224c373 completed March 14, 2026, 9:23 p.m.
Created at: March 12, 2026, 11:08 p.m.