Triple

T4029686
Position Surface form Disambiguated ID Type / Status
Subject BBC America E83675 entity
Predicate notableProgram P4 FINISHED
Object Killing Eve E336030 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: Killing Eve | Statement: [BBC America, notableProgram, Killing Eve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killing Eve
Context triple: [BBC America, notableProgram, Killing Eve]
  • A. Killing Eve chosen
    Killing Eve is a critically acclaimed British spy thriller television series that follows the obsessive cat-and-mouse game between an intelligence investigator and a skilled assassin.
  • B. Eye in the Sky
    Eye in the Sky is a 2015 British thriller film that explores the moral and legal complexities of modern drone warfare and targeted killings.
  • C. Red Sparrow
    Red Sparrow is a 2018 spy thriller film in which Jennifer Lawrence plays a Russian ballerina-turned-intelligence operative trained in seduction and manipulation.
  • D. Quantico
    Quantico is a small town in Prince William County, Virginia, best known for hosting the Marine Corps Base Quantico and several major U.S. federal law enforcement training facilities.
  • E. Homeland
    Homeland is an American political thriller television series that follows a CIA officer’s obsessive pursuit of a suspected terrorist and explores themes of national security, paranoia, and personal sacrifice.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaf1d8208190951a20ad7e5ab7bc completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b4a54c48190ae8abe0188b9738b completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:36 p.m.