Triple

T14722906
Position Surface form Disambiguated ID Type / Status
Subject Lucas North E345859 entity
Predicate appearsIn P795 FINISHED
Object MI-5 E199128 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: MI-5 | Statement: [Lucas North, appearsIn, MI-5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MI-5
Context triple: [Lucas North, appearsIn, MI-5]
  • A. MI-5 chosen
    MI-5 is a British spy thriller film (also known as "Spooks: The Greater Good") based on the TV series "Spooks," featuring David Oyelowo in a prominent role.
  • B. Midsomer Murders
    Midsomer Murders is a long-running British detective drama series set in the fictional English county of Midsomer, known for its picturesque villages and surprisingly high murder rate.
  • C. Line of Duty
    Line of Duty is a British crime drama television series that follows an anti-corruption police unit investigating complex and morally ambiguous cases within the force.
  • D. Sherlock
    Sherlock is a modern television adaptation of Arthur Conan Doyle’s Sherlock Holmes stories, starring Benedict Cumberbatch as the brilliant but eccentric consulting detective in contemporary London.
  • E. Spooks
    Spooks is a British television spy drama series centered on the high-stakes operations of MI5 officers.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0957bb081908f1f382f3be8ec20 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.