Triple

T16009588
Position Surface form Disambiguated ID Type / Status
Subject Lee Scoresby E388303 entity
Predicate daemonForm P121336 FINISHED
Object Arctic hare E824636 NE FINISHED

How this triple was built (3 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: Arctic hare | Statement: [Lee Scoresby, daemonForm, Arctic hare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arctic hare
Context triple: [Lee Scoresby, daemonForm, Arctic hare]
  • A. Lepus arcticus chosen
    Lepus arcticus, commonly known as the Arctic hare, is a large, white-furred hare adapted to cold Arctic environments of North America and Greenland.
  • B. Aspen Hare
    Aspen Hare is one of the official mascots of the 2002 Winter Olympics in Salt Lake City, representing speed and agility.
  • C. Arctic fox
    The Arctic fox is a small, cold-adapted mammal native to Arctic regions, known for its thick seasonal fur that changes color for camouflage in snow and tundra landscapes.
  • D. snowshoe hare
    The snowshoe hare is a North American hare species known for its large hind feet and seasonal fur color change from brown to white, which helps it move on snow and avoid predators.
  • E. Keinohrhasen
    Keinohrhasen is a popular German romantic comedy film that significantly boosted Til Schweiger’s fame as both an actor and director.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: daemonForm
Context triple: [Lee Scoresby, daemonForm, Arctic hare]
  • A. damState
    Indicates the operational or physical condition a dam is currently in, such as its status, integrity, or level of functionality.
  • B. mayForm
    Indicates that one entity has the potential or permission to be combined or configured to create, constitute, or result in another entity or structure.
  • C. formsSwarms
    Indicates that multiple entities come together to create or participate in a coordinated swarm.
  • D. dialogueForm
    Indicates that one entity takes the form or structure of a dialogue, typically involving conversational or interactive exchange between parties.
  • E. laterForms
    Indicates that one entity is a subsequent or more recent form, version, or stage of another entity in a temporal or developmental sequence.
  • F. None of above. chosen

Provenance (5 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1858a00888190b8505071575dc56f completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf24a9d8819083d7b11d71442da6 completed May 10, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e1826a4f7c8190aba6d4f1075141b0 completed April 17, 2026, 12:44 a.m.
PDg Predicate description generation batch_69e185879c10819080a18e24969b5a6d completed April 17, 2026, 12:57 a.m.
Created at: April 10, 2026, 4:55 a.m.