Triple

T2138142
Position Surface form Disambiguated ID Type / Status
Subject Orlando Bloom E46700 entity
Predicate name P16 FINISHED
Object Orlando Bloom E46700 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: Orlando Bloom | Statement: [Orlando Bloom, name, Orlando Bloom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlando Bloom
Context triple: [Orlando Bloom, name, Orlando Bloom]
  • A. Orlando Bloom chosen
    Orlando Bloom is an English actor best known for his role as the elf Legolas in the blockbuster The Lord of the Rings and Pirates of the Caribbean film franchises.
  • B. Gregor Fisher
    Gregor Fisher is a Scottish actor best known for his comedic roles, particularly as the lead character in the television series "Rab C. Nesbitt."
  • C. Warwick Davis
    Warwick Davis is an English actor best known for his roles in fantasy and science-fiction films such as "Willow," the "Harry Potter" series, and the "Star Wars" franchise.
  • D. David Bamber
    David Bamber is an English actor known for his character roles in British television and film, including his portrayal of Mr. Collins in the 1995 adaptation of "Pride and Prejudice."
  • E. Rhys Ifans
    Rhys Ifans is a Welsh actor and musician best known for his eccentric and comedic roles in films such as "Notting Hill," "Harry Potter and the Deathly Hallows – Part 1," and "The Amazing Spider-Man."
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbe012aa481909ffa0a50e58efabb completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58d3275481909c8d74ca7c037ddd completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.