Triple

T13637964
Position Surface form Disambiguated ID Type / Status
Subject Evening Star E325899 entity
Predicate contrastsWith P278 FINISHED
Object Morning Star E106158 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: Morning Star | Statement: [Evening Star, contrastsWith, Morning Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morning Star
Context triple: [Evening Star, contrastsWith, Morning Star]
  • A. Morning Star
    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 chosen
    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. The Morning Star
    The Morning Star is a novel by Arthur C. Clarke that continues his Constellations series with a blend of science fiction and philosophical exploration.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a84cc4819098a975e33250c89b completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af297008190b12256c936714213 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.