Triple

T2894109
Position Surface form Disambiguated ID Type / Status
Subject La Peau de chagrin E63896 entity
Predicate character P662 FINISHED
Object Foedora E101036 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: [La Peau de chagrin, character, Foedora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foedora
Context triple: [La Peau de chagrin, character, Foedora]
  • A. 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.
  • B. Fedora chosen
    Fedora is a 1978 drama film by Billy Wilder that explores the tragic mystique and hidden costs of Hollywood stardom.
  • C. Poros
    Poros is a small Greek island in the Saronic Gulf known for its pine-covered hills, neoclassical town, and popularity as a nearby getaway from Athens.
  • D. Nix
    Nix is one of Pluto’s small outer moons, an irregularly shaped natural satellite discovered in 2005 that orbits the dwarf planet in a complex, resonant system with its other moons.
  • E. Inferno operating system
    Inferno operating system is a distributed, network-centric operating system designed for building portable, secure applications across diverse devices and environments.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe063de6c8190bce9ddefd1dd62e1 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b031814764819096a1664b468ec817 completed March 10, 2026, 2:58 p.m.
Created at: March 6, 2026, 10:07 p.m.