Triple

T12884245
Position Surface form Disambiguated ID Type / Status
Subject The Magic Skin E308182 entity
Predicate hasCharacter P2308 FINISHED
Object Foedora E1009619 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: Foedora | Statement: [The Magic Skin, hasCharacter, Foedora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foedora
Context triple: [The Magic Skin, hasCharacter, Foedora]
  • A. Foedora chosen
    Foedora is a central female character in Honoré de Balzac's novel "La Peau de chagrin," known as a cold, aristocratic beauty who embodies unattainable desire and social ambition.
  • B. Solaris
    Solaris is a 1972 Soviet science fiction film by Andrei Tarkovsky that explores memory, grief, and human consciousness aboard a space station orbiting a mysterious planet.
  • C. FEDRO
    FEDRO is the Swiss federal authority responsible for planning, constructing, operating, and maintaining the national road network.
  • D. Fazy
    Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
  • E. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714208f881908f7f8a921362909a completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af55623081909fd171129f439302 completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:39 p.m.