Triple

T11528012
Position Surface form Disambiguated ID Type / Status
Subject Amee E273346 entity
Predicate portrayedBy P1507 FINISHED
Object Katie Lucas E52440 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: Katie Lucas | Statement: [Amee, portrayedBy, Katie Lucas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katie Lucas
Context triple: [Amee, portrayedBy, Katie Lucas]
  • A. Katie Lucas chosen
    Katie Lucas is an American screenwriter and actress best known for her work on the animated series "Star Wars: The Clone Wars" and as the daughter of filmmaker George Lucas.
  • B. Katie Morgan
    Katie Morgan is a struggling single mother in the British social-realist film "I, Daniel Blake," whose experiences highlight the failures of the welfare system.
  • C. Katie King
    Katie King is the daughter of British television presenter and former "Countdown" co-host Carol Vorderman.
  • D. Katie Wilkinson
    Katie Wilkinson is a central character in James Patterson's novel "Suzanne's Diary for Nicholas," a young editor whose discovery of a poignant diary transforms her understanding of love and loss.
  • E. Katie Boyle
    Katie Boyle was an Italian-born British television presenter and actress best known for hosting the Eurovision Song Contest multiple times in the 1960s and 1970s.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d883972b10819093bd09cf8406671c completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f63ed82a548190ab9326daef78e30b completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:37 p.m.