Triple

T19505390
Position Surface form Disambiguated ID Type / Status
Subject Bright E488007 entity
Predicate title P38 FINISHED
Object Bright 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: Bright | Statement: [Bright, title, Bright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bright
Context triple: [Bright, title, Bright]
  • A. Bright
    Bright is a notable member of the Philhellenes, a group known for its strong admiration and support for Greek culture and causes.
  • B. Bright chosen
    Bright is a 2017 urban fantasy action film set in a world where humans coexist with mythical creatures, starring Will Smith and Joel Edgerton and released by Netflix.
  • C. Bright
    Bright is a popular tourist town in northeastern Victoria, Australia, known for its picturesque alpine scenery, autumn foliage, and outdoor recreation activities.
  • D. Bright
    Bright is an English surname borne by various notable figures, including the 19th-century British politician and reformer John Bright.
  • E. Brighter
    "Brighter" is a song by Carole King featured on her album "Music."
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635113fdc819098ea0f738d01925c completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.