Triple

T12750131
Position Surface form Disambiguated ID Type / Status
Subject The Story of Ruth E304707 entity
Predicate mainCharacter P1183 FINISHED
Object Ruth E19795 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: Ruth | Statement: [The Story of Ruth, mainCharacter, Ruth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth
Context triple: [The Story of Ruth, mainCharacter, Ruth]
  • A. Ruth chosen
    Ruth is a book of the Hebrew Bible/Old Testament that tells the story of a Moabite woman whose loyalty and faith lead to her becoming an ancestor of King David.
  • B. Ruth
    Ruth is the surname of Babe Ruth, the legendary American baseball player widely regarded as one of the greatest hitters in the sport's history.
  • C. Ruth
    Ruth is a central female character in Herman Melville’s epic poem "Clarel," embodying themes of faith, love, and spiritual conflict.
  • D. Ruth
    Ruth is a character in Alan Ayckbourn's comedic play trilogy "The Norman Conquests," known for its interlinked domestic farce and intricate relationship dynamics.
  • E. Ruth
    Ruth is the central character of Scott McPherson's play "Marvin's Room," a middle-aged woman who has spent years selflessly caring for her ailing father and aunt while confronting her own serious illness.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd75f508190aaae0969f33d1523 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c964c508190b4d6a094b388280b completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.