Triple

T23094936
Position Surface form Disambiguated ID Type / Status
Subject The Last Ship E575857 entity
Predicate bookBy P2353 FINISHED
Object John Logan NE NERFINISHED

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: John Logan | Statement: [The Last Ship, bookBy, John Logan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Logan
Context triple: [The Last Ship, bookBy, John Logan]
  • A. John Logan
    John Logan was a prominent 18th-century Mingo (Iroquois) leader and orator known for his tragic role in the conflicts between Native Americans and colonial settlers in the Ohio Valley.
  • B. John Logan chosen
    John Logan is an acclaimed American playwright and screenwriter known for works such as "Gladiator," "The Aviator," and the James Bond films "Skyfall" and "Spectre."
  • C. Duncan MacMillan
    Duncan MacMillan is an American businessman best known as one of the co-founders of the global financial information and media company Bloomberg L.P.
  • D. Duncan MacMillan
    Duncan MacMillan is an American businessman best known as a co-founder of Interactive Data Corporation, a major provider of financial market data and analytics.
  • E. Brian Wilde
    Brian Wilde was an English character actor best known for his comedic roles in British television series such as "Last of the Summer Wine" and "Porridge."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de3b2b481909ef598b447ed4dd2 completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:57 p.m.