Triple

T14853308
Position Surface form Disambiguated ID Type / Status
Subject Genesis 29 E349285 entity
Predicate featuresCharacter P626 FINISHED
Object Bilhah E64670 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: Bilhah | Statement: [Genesis 29, featuresCharacter, Bilhah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilhah
Context triple: [Genesis 29, featuresCharacter, Bilhah]
  • A. Bilhah chosen
    Bilhah is a biblical figure who served as Rachel’s maidservant and bore two of Jacob’s sons, Dan and Naphtali.
  • B. Rahel
    Rahel is one of the central twin protagonists in Arundhati Roy’s novel "The God of Small Things," whose fragmented memories and experiences drive much of the story’s emotional and narrative arc.
  • C. Bilhah Jay
    Bilhah Jay is a science fiction writer known for her work on the "Starships" series.
  • D. Miriam
    Miriam is a prominent biblical figure known as the sister of Moses and Aaron and as a prophetess during the Exodus of the Israelites from Egypt.
  • E. Miriam
    Miriam is a central fictional character in Nathaniel Hawthorne’s novel "The Marble Faun," portrayed as a mysterious and artistically gifted woman with a troubled past.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44318f0819080b6c599f2d3474f completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6506ace48190819504b93f575660 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.