Triple

T5907925
Position Surface form Disambiguated ID Type / Status
Subject Éponine E131386 entity
Predicate associatedWith P37 FINISHED
Object Cosette E127511 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: Cosette | Statement: [Éponine, associatedWith, Cosette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosette
Context triple: [Éponine, associatedWith, Cosette]
  • A. Cosette chosen
    Cosette is a central character in Victor Hugo's novel *Les Misérables*, known as the orphaned daughter of Fantine who is rescued and raised by Jean Valjean.
  • B. Fantine
    Fantine is a tragic young mother in Victor Hugo's Les Misérables, whose descent into poverty and sacrifice for her child embodies the novel’s social injustice and emotional core.
  • C. Éponine
    Éponine is a tragic, lovestruck young woman in Victor Hugo’s Les Misérables, known for her unrequited love for Marius and her poignant solo “On My Own” in the 2012 film adaptation.
  • D. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • E. Mathilde
    Mathilde is a feminine given name of Germanic origin, commonly used in various European countries.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03773f4188190a11276b2d5baad08 completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62ce885bc8190b2ba6b689913b387 completed March 27, 2026, 7:08 a.m.
Created at: March 22, 2026, 3:59 p.m.