Triple

T19347417
Position Surface form Disambiguated ID Type / Status
Subject Ruth Messinger E483917 entity
Predicate givenName P17 FINISHED
Object Ruth NE NERFINISHED

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: [Ruth Messinger, givenName, Ruth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth
Context triple: [Ruth Messinger, givenName, Ruth]
  • A. 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.
  • B. Ruth
    Ruth is a supporting character in the comedy Western film "A Million Ways to Die in the West," known for being a devout Christian prostitute engaged to the protagonist's best friend.
  • C. Ruth
    "Ruth" is a philosophical novel by Lou Andreas-Salomé that explores themes of identity, love, and spiritual longing through the inner life of its female protagonist.
  • D. Ruth chosen
    Ruth is a feminine given name of Hebrew origin meaning "friend" or "companion," widely used in English-speaking countries.
  • E. Ruth
    Ruth is a supporting character in the disaster film "Dante's Peak," known as the stubborn grandmother who initially refuses to evacuate despite the impending volcanic eruption.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185c95248190b1e5bb8626489767 completed April 20, 2026, 12:13 p.m.
Created at: April 10, 2026, 1:34 p.m.