Triple

T18294671
Position Surface form Disambiguated ID Type / Status
Subject Daily Worker E438199 entity
Predicate successor P78 FINISHED
Object Morning Star 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: Morning Star | Statement: [Daily Worker, successor, Morning Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morning Star
Context triple: [Daily Worker, successor, Morning Star]
  • A. Morning Star chosen
    Morning Star is a British socialist daily newspaper known for its left-wing political coverage and labor movement focus.
  • B. Morning Star
    Morning Star is the alternative name of Dull Knife, a prominent Northern Cheyenne chief known for his leadership and resistance during the late 19th-century Indian Wars.
  • C. Morning Star
    Morning Star is the name given to the planet Venus when it appears as a bright celestial object in the eastern sky before sunrise.
  • D. Morning Stars
    "Morning Stars" is a notable literary work by Zalman Shazar, the third President of Israel, reflecting his engagement with Jewish history and culture.
  • E. Bright and Morning Star
    "Bright and Morning Star" is a powerful short story by Richard Wright that portrays racial injustice and a Black mother's courageous resistance in the Jim Crow South.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5010205bc8190a32fe731ead3d988 completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.