Triple

T10396488
Position Surface form Disambiguated ID Type / Status
Subject Humans E245033 entity
Predicate hasCharacter P2308 FINISHED
Object Laura Hawkins E84092 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: Laura Hawkins | Statement: [Humans, hasCharacter, Laura Hawkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Hawkins
Context triple: [Humans, hasCharacter, Laura Hawkins]
  • A. Laura Hawkins chosen
    Laura Hawkins was a childhood friend and early love interest of Mark Twain whose personality and experiences inspired the character Becky Thatcher in "The Adventures of Tom Sawyer."
  • B. Kate Burroughs
    Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
  • C. Kate Barry
    Kate Barry was a British-French photographer known for her intimate portraits of artists and celebrities, and as the daughter of Jane Birkin and composer John Barry.
  • D. Margaret McTague
    Margaret McTague was the wife of New York politician and long-serving U.S. Senator Robert F. Wagner.
  • E. Beth Winters
    Beth Winters is a fictional character from the 2012 ensemble drama-comedy film "Darling Companion."
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9cf79348190975d6c1791e3b621 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e7adc3881909731d5289f370b8b completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:06 p.m.