Triple

T16368537
Position Surface form Disambiguated ID Type / Status
Subject A Sparrow Falls E397500 entity
Predicate series P1761 FINISHED
Object Courtney series E397514 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: Courtney series | Statement: [A Sparrow Falls, series, Courtney series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Courtney series
Context triple: [A Sparrow Falls, series, Courtney series]
  • A. Courtney series chosen
    The Courtney series is a popular sequence of historical adventure novels by Wilbur Smith that follows the fortunes and conflicts of the Courtney family across generations in Africa.
  • B. Courtney
    Courtney is a surname of Irish origin that is also commonly used as a given name.
  • C. Courtney Shayne
    Courtney Shayne is the ruthless, popularity-obsessed queen bee and primary antagonist of the dark teen comedy film "Jawbreaker."
  • D. Ellie Hatcher series
    The Ellie Hatcher series is a contemporary crime-fiction book series following a New York City detective, written by American novelist and former prosecutor Alafair Burke.
  • E. Veronica Mars
    Veronica Mars is a neo-noir mystery television series (later continued in film and revival form) centered on a sharp-witted teenage private investigator navigating crime and corruption in the fictional town of Neptune, California.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3f0694819097faa1c1447a9e97 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035600420819087c909a615d205a2 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.