Triple

T16368987
Position Surface form Disambiguated ID Type / Status
Subject Monsoon E397512 entity
Predicate hasSequel P1961 FINISHED
Object Blue Horizon E397513 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: Blue Horizon | Statement: [Monsoon, hasSequel, Blue Horizon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Horizon
Context triple: [Monsoon, hasSequel, Blue Horizon]
  • A. Blue Horizon chosen
    Blue Horizon is a historical adventure novel by Wilbur Smith that continues the saga of the Courtney family in colonial Africa.
  • B. Blue Horizon
    Blue Horizon was a British blues record label best known for releasing influential late-1960s recordings by artists such as Fleetwood Mac and other blues-rock acts.
  • C. The Clear Horizon
    The Clear Horizon was an American daytime television soap opera that aired in the early 1960s, focusing on the personal and professional lives of astronauts and their families.
  • D. Blue Sunshine
    Blue Sunshine is a 1978 cult horror-thriller film about a series of murders linked to a batch of experimental LSD taken years earlier.
  • E. Under a Blanket of Blue
    "Under a Blanket of Blue" is a jazz standard best known for its smooth, romantic rendition by Ella Fitzgerald and Louis Armstrong.
  • 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_69e2ff4021e88190ad093bab74cf82a4 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc29f088190ba5d69ff3c12a251 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.