Triple

T5633399
Position Surface form Disambiguated ID Type / Status
Subject Carlos Saura E147886 entity
Predicate notableWork P4 FINISHED
Object Salomé E66081 NE FINISHED

How this triple was built (2 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: Salomé | Statement: [Carlos Saura, notableWork, Salomé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salomé
Context triple: [Carlos Saura, notableWork, Salomé]
  • A. Salome chosen
    Salome is a biblical and historical figure best known for her dance before Herod Antipas that led to the beheading of John the Baptist.
  • B. Salome, Where She Danced
    Salome, Where She Danced is a 1945 Technicolor historical drama film best known for being Yvonne De Carlo’s first major starring role.
  • C. Salammbô
    Salammbô is a historical novel by Gustave Flaubert set in ancient Carthage during the Mercenary War, renowned for its lush, exotic detail and meticulous historical research.
  • D. In the Name of Salomé
    In the Name of Salomé is a historical novel by Julia Alvarez that intertwines the lives of Dominican poet Salomé Ureña and her daughter Camila, exploring themes of exile, identity, and political struggle.
  • E. Lucia DeLury
    Lucia DeLury is a supporting character in the dark comedy film "The Opposite of Sex," involved in the tangled romantic and personal conflicts that drive the story.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0225ff3248190b93c9f5887553fd4 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d69128881909870e8901f967e80 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:41 p.m.