Triple

T7134463
Position Surface form Disambiguated ID Type / Status
Subject Zalman Shazar E166269 entity
Predicate notableWork P4 FINISHED
Object 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.
 E643409 NE FINISHED

How this triple was built (4 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 Stars | Statement: [Zalman Shazar, notableWork, Morning Stars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morning Stars
Context triple: [Zalman Shazar, notableWork, Morning Stars]
  • 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 name given to the planet Venus when it appears as a bright celestial object in the eastern sky before sunrise.
  • C. Morning Glory
    "Morning Glory" is a landmark 1995 Britpop album by Oasis, featuring anthemic tracks that helped define the band's global success and the sound of 1990s British rock.
  • D. Morning Glory
    Morning Glory is a 1933 American drama film that earned Katharine Hepburn her first Academy Award for Best Actress.
  • E. The Morning
    "The Morning" is a moody, atmospheric R&B track by The Weeknd, known for its hazy production and themes of hedonism and disillusionment.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Morning Stars
Triple: [Zalman Shazar, notableWork, Morning Stars]
Generated description
"Morning Stars" is a notable literary work by Zalman Shazar, the third President of Israel, reflecting his engagement with Jewish history and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morning Stars
Target entity description: "Morning Stars" is a notable literary work by Zalman Shazar, the third President of Israel, reflecting his engagement with Jewish history and culture.
  • 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 name given to the planet Venus when it appears as a bright celestial object in the eastern sky before sunrise.
  • C. Morning Glory
    Morning Glory is a 1933 American drama film that earned Katharine Hepburn her first Academy Award for Best Actress.
  • D. Morning Glory
    "Morning Glory" is a landmark 1995 Britpop album by Oasis, featuring anthemic tracks that helped define the band's global success and the sound of 1990s British rock.
  • E. The Morning
    "The Morning" is a moody, atmospheric R&B track by The Weeknd, known for its hazy production and themes of hedonism and disillusionment.
  • F. None of above. chosen

Provenance (5 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e68f15bc8190a4d82b8ee388f497 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a344fb4881908f6b6e33706e0192 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a3f2b51c81909f058149e9bd9f0a completed March 28, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_69c7a4a9e91881909df07f1c540f191e completed March 28, 2026, 9:51 a.m.
Created at: March 27, 2026, 2:45 p.m.