Triple

T11152040
Position Surface form Disambiguated ID Type / Status
Subject Elanor Gardner E263809 entity
Predicate givenName P17 FINISHED
Object Elanor E385692 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: Elanor | Statement: [Elanor Gardner, givenName, Elanor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elanor
Context triple: [Elanor Gardner, givenName, Elanor]
  • A. Elanor chosen
    Elanor is a central character in the coming-of-age film "The Wackness," serving as the love interest who significantly influences the protagonist's emotional growth.
  • B. Everina
    Everina Wollstonecraft was an 18th-century English governess and writer, best known as the younger sister of feminist philosopher Mary Wollstonecraft.
  • C. Ysabell
    Ysabell is a character from Terry Pratchett's Discworld series, notably the adopted daughter of Death who appears prominently in the novel "Mort."
  • D. Zeleia
    Zeleia was an ancient city in the region of Mysia in northwestern Asia Minor, known from classical Greek and Roman historical and geographical sources.
  • E. Ethelyn
    Ethelyn is a feminine given name, considered a variant of Ethel, that saw occasional use in English-speaking countries in the late 19th and early 20th centuries.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8719e74819095413abc6c79296c completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4422ea8748190856d461e741193b9 completed April 19, 2026, 2:47 a.m.
Created at: April 8, 2026, 9:28 p.m.