Triple

T13574732
Position Surface form Disambiguated ID Type / Status
Subject Jacob E324251 entity
Predicate concubine P9994 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: [Jacob, concubine, Bilhah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilhah
Context triple: [Jacob, concubine, 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. 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.
  • D. Miriam
    Miriam is a fictional character from the British dark comedy television series "The Life and Times of Vivienne Vyle."
  • E. Miriam
    Miriam is the birth name of American country music singer and songwriter Jessi Colter.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02b1f108190a12af382d1de70bb completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bba21f88190b8952fb0879e623d completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.