Triple

T11800774
Position Surface form Disambiguated ID Type / Status
Subject Susannah Dean E280618 entity
Predicate originUniverse P39506 FINISHED
Object Keystone World E721704 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: Keystone World | Statement: [Susannah Dean, originUniverse, Keystone World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keystone World
Context triple: [Susannah Dean, originUniverse, Keystone World]
  • A. Keystone
    Keystone is a small tourist town in South Dakota’s Black Hills, best known as the gateway community to Mount Rushmore National Memorial.
  • B. Keystone
    Keystone is a small town located in McDowell County, West Virginia, historically associated with the region’s coal mining industry.
  • C. Keystone
    Keystone is the OpenStack identity service that provides authentication, authorization, and service catalog management for the cloud platform.
  • D. Keystone Earth chosen
    Keystone Earth is the primary, seemingly ordinary version of Earth in Stephen King’s Dark Tower universe, serving as a central hub that other parallel worlds and realities are connected to.
  • E. Island in the Sky
    Island in the Sky is a 1953 American aviation drama film starring John Wayne, based on Ernest K. Gann’s novel about a stranded transport plane and its crew’s struggle for survival in the Arctic.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a4512c8190b7782e1dee053000 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f13129fa608190b080dc27f8bd7803 completed April 28, 2026, 10:14 p.m.
Created at: April 8, 2026, 9:42 p.m.