Triple

T5742737
Position Surface form Disambiguated ID Type / Status
Subject Édgar Ramírez E126653 entity
Predicate notableWork P4 FINISHED
Object Bright E488007 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: Bright | Statement: [Édgar Ramírez, notableWork, Bright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bright
Context triple: [Édgar Ramírez, notableWork, Bright]
  • A. 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.
  • B. Bright
    Bright is a notable member of the Philhellenes, a group known for its strong admiration and support for Greek culture and causes.
  • C. Shiny
    "Shiny" is a flamboyant villain song from Disney's animated film *Moana*, performed by the giant crab Tamatoa as he boasts about his love of all things glittery and reflective.
  • D. Terang
    Terang is a prominent clan of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
  • E. Too Bright
    Too Bright is a critically acclaimed 2014 art-pop album by Perfume Genius that marked a bold, more experimental and confrontational turn in his sound and songwriting.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025852a2c819080521e5b98c00bdc completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e2196e08190a38e1c6871e71acd completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.