Triple

T9947157
Position Surface form Disambiguated ID Type / Status
Subject Rose the Hat E195231 entity
Predicate enemyOf P437 FINISHED
Object Abra Stone E195230 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: Abra Stone | Statement: [Rose the Hat, enemyOf, Abra Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abra Stone
Context triple: [Rose the Hat, enemyOf, Abra Stone]
  • A. Abra Stone chosen
    Abra Stone is a powerful young psychic (a "shiner") who plays a central role in Stephen King’s horror novel "Doctor Sleep," the sequel to "The Shining."
  • B. Abra
    Abra is a landlocked province in the northern Philippines known for its mountainous terrain, indigenous cultures, and rich natural landscapes.
  • C. Abra
    Abra is a character in Antonio Vivaldi’s sacred oratorio "Juditha triumphans," serving as a companion and confidante to the heroine Juditha.
  • D. Abra de Ilog
    Abra de Ilog is a coastal municipality in Occidental Mindoro, Philippines, known as a gateway between Mindoro Island and mainland Luzon via ferry connections.
  • E. Abra Kadabra
    Abra Kadabra is a DC Comics supervillain and futuristic stage magician who uses advanced technology to simulate magic, often appearing as an enemy of the Flash.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb657b35c81909448e93999f6e77c completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d5c6fdc81909b44d0b321201222 completed April 5, 2026, 10:45 a.m.
Created at: March 30, 2026, 8:45 p.m.