Triple

T8607633
Position Surface form Disambiguated ID Type / Status
Subject The Lightning Warrior E203840 entity
Predicate starring P1507 FINISHED
Object Georgia Hale E153323 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: Georgia Hale | Statement: [The Lightning Warrior, starring, Georgia Hale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgia Hale
Context triple: [The Lightning Warrior, starring, Georgia Hale]
  • A. Georgia Hale chosen
    Georgia Hale was an American silent film actress best known for her role opposite Charlie Chaplin in the classic 1925 film "The Gold Rush."
  • B. Fannie Hillsmith
    Fannie Hillsmith was an American painter associated with Cubism who helped shape mid-20th-century modern art and co-founded the Fine Arts Work Center in Provincetown.
  • C. Zelma Atwood
    Zelma Atwood is best known as the widow of legendary soul singer Otis Redding and the longtime steward of his musical legacy and estate.
  • D. Sarah Horton
    Sarah Horton was the wife of early American colonist and Salem leader Roger Conant, associated with the founding period of Salem, Massachusetts.
  • E. Nettie Fowler
    Nettie Fowler is a central character in the Rodgers and Hammerstein musical "Carousel," known as a strong, nurturing figure who helps guide the story’s emotional core.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46ec301881908ce148a3f07069fe completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea909757c819095dd38644c21af33 completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:25 p.m.