Triple

T8431838
Position Surface form Disambiguated ID Type / Status
Subject The Girl Before E199131 entity
Predicate publisher P29 FINISHED
Object Quercus E616744 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: Quercus | Statement: [The Girl Before, publisher, Quercus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quercus
Context triple: [The Girl Before, publisher, Quercus]
  • A. Quercus
    Quercus is a large genus of trees and shrubs commonly known as oaks, widespread in the Northern Hemisphere and ecologically important for their hardwood and acorn production.
  • B. Quercus chosen
    Quercus is a British publishing company known for its fiction and non-fiction titles, including award-winning and bestselling works.
  • C. Quercus alba
    Quercus alba is the white oak, a long-lived North American hardwood tree valued for its strong, durable timber and ecological importance in eastern forests.
  • D. Quercus wislizeni
    Quercus wislizeni is an evergreen oak tree species native to California, commonly found in the Sierra Nevada foothills and surrounding regions.
  • E. Fagus
    Fagus is a genus of deciduous trees commonly known as beeches, native to temperate regions of the Northern Hemisphere and valued for their hardwood and ornamental use.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a4876c81908d5a708bb1f35683 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce038902308190bff57c9ce14e72ed completed April 2, 2026, 5:50 a.m.
Created at: March 30, 2026, 6:07 p.m.