Triple

T13682135
Position Surface form Disambiguated ID Type / Status
Subject Children of Jacob E328027 entity
Predicate maternalLineageIncludes P40407 FINISHED
Object Rachel E69959 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: Rachel | Statement: [Children of Jacob, maternalLineageIncludes, Rachel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel
Context triple: [Children of Jacob, maternalLineageIncludes, Rachel]
  • A. Rachel chosen
    Rachel is a prominent biblical matriarch in the Book of Genesis, known as Jacob’s beloved wife and the mother of Joseph and Benjamin.
  • B. Rachel
    Rachel is the famous bronze piggy bank sculpture and unofficial mascot of Seattle’s Pike Place Market, known for collecting donations for local social services.
  • C. Rachel
    Rachel is a central protagonist in the science fiction television series "The Starlost," playing a key role in the story’s exploration of a generation ship and its isolated communities.
  • D. Rachel
    Rachel is a central character in Michael Ondaatje’s novel "Warlight," whose mysterious past and complex relationships drive much of the story’s intrigue and emotional tension.
  • E. Rachel
    Rachel is the central character in the psychological thriller miniseries "Behind Her Eyes," portrayed by actress Simona Brown.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8746458819095ec1ba3c01ef31b completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d4a4a50819098bd4348eba19ee7 completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:53 p.m.