Triple

T19071429
Position Surface form Disambiguated ID Type / Status
Subject Hayyi Rabbi E466799 entity
Predicate domain P87 FINISHED
Object World of Light 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: World of Light | Statement: [Hayyi Rabbi, domain, World of Light]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: World of Light
Context triple: [Hayyi Rabbi, domain, World of Light]
  • A. World of Light chosen
    World of Light is the transcendent, luminous divine realm in Mandaean religion, regarded as the ultimate source of goodness, truth, and spiritual salvation.
  • B. Wonderland of Lights
    Wonderland of Lights is a large annual holiday light festival in Marshall, Texas, featuring elaborate Christmas light displays and seasonal festivities.
  • C. The Changing Lights
    The Changing Lights is a jazz album by American singer Stacey Kent that blends bossa nova influences with her signature intimate vocal style.
  • D. Castle of Light
    The Castle of Light is the striking contemporary glass-and-steel building in Riga that serves as the home of the National Library of Latvia.
  • E. Children of Light
    Children of Light is a dark, psychologically intense novel by Robert Stone that follows a troubled actor and a self-destructive screenwriter amid a chaotic film production in Mexico.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19fa6948190bdf8e8ec022e12f2 completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:04 p.m.