Triple

T14552029
Position Surface form Disambiguated ID Type / Status
Subject Miss Havisham E341440 entity
Predicate influences P9 FINISHED
Object Estella E857016 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: Estella | Statement: [Miss Havisham, influences, Estella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estella
Context triple: [Miss Havisham, influences, Estella]
  • A. Estella
    Estella is a historic town in northern Spain, renowned as an important stop on the Camino de Santiago pilgrimage route and for its well-preserved medieval architecture.
  • B. Estella chosen
    Estella is a central character in Charles Dickens's novel "Great Expectations," known for her beauty, emotional coldness, and role in shaping Pip's feelings and aspirations.
  • C. Tarazona
    Tarazona is a historic town in northeastern Spain known for its well-preserved Mudejar architecture and scenic setting near the Moncayo massif.
  • D. Larráinzar
    Larráinzar is a municipality in the highland region of Chiapas, Mexico, known for its indigenous Tzotzil Maya population and traditional culture.
  • E. Estella-Lizarra
    Estella-Lizarra is a historic town in Navarre, northern Spain, known for its medieval architecture and location along the Camino de Santiago pilgrimage route.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9124af481908f43e3b541568e26 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:23 a.m.