Triple

T23475410
Position Surface form Disambiguated ID Type / Status
Subject Rachel Crothers E570248 entity
Predicate notableWork P4 FINISHED
Object Susan and God 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: Susan and God | Statement: [Rachel Crothers, notableWork, Susan and God]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan and God
Context triple: [Rachel Crothers, notableWork, Susan and God]
  • A. Susan and God chosen
    Susan and God is a 1937 stage play by Rachel Crothers that explores themes of religion, morality, and social pretension among wealthy American society.
  • B. Dear God
    "Dear God" is a 1986 song by the English rock band XTC, known for its controversial and thought-provoking lyrics that question the existence and benevolence of God.
  • C. Sue
    Sue is the tough, resilient male protagonist of the humorous country song "A Boy Named Sue," whose life is shaped by the hardships caused by his traditionally feminine name.
  • D. Sue
    Sue is a common English given name, typically used as a short form of Susanna or Susan.
  • E. Sue
    Sue is a town in Fukuoka Prefecture, Japan, that forms part of the greater Fukuoka–Kitakyushu metropolitan region.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a704e2a48190acb55f77a2124412 completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 6 p.m.