Triple

T12540714
Position Surface form Disambiguated ID Type / Status
Subject Andre Norton E299829 entity
Predicate notableWork P4 FINISHED
Object Catseye
Catseye is a science fiction novel by Andre Norton that follows a telepathic orphan boy and his psychic animal companions as they uncover dangerous secrets on a distant colony world.
E990100 NE FINISHED

How this triple was built (4 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: Catseye | Statement: [Andre Norton, notableWork, Catseye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catseye
Context triple: [Andre Norton, notableWork, Catseye]
  • A. Bigelow
    Bigelow is a surname of English origin borne by various notable individuals in fields such as science, politics, and the arts.
  • B. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • C. Seabreeze
    Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
  • D. Seavey
    Seavey is a surname most notably associated with the Alaskan mushing family that includes multiple Iditarod champion Mitch Seavey.
  • E. Evison
    Evison is a surname most notably associated with New Zealand actress Pat Evison, recognized for her work in film, television, and theatre.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Catseye
Triple: [Andre Norton, notableWork, Catseye]
Generated description
Catseye is a science fiction novel by Andre Norton that follows a telepathic orphan boy and his psychic animal companions as they uncover dangerous secrets on a distant colony world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Catseye
Target entity description: Catseye is a science fiction novel by Andre Norton that follows a telepathic orphan boy and his psychic animal companions as they uncover dangerous secrets on a distant colony world.
  • A. Bigelow
    Bigelow is a surname of English origin borne by various notable individuals in fields such as science, politics, and the arts.
  • B. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • C. Seabreeze
    Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
  • D. Seavey
    Seavey is a surname most notably associated with the Alaskan mushing family that includes multiple Iditarod champion Mitch Seavey.
  • E. Evison
    Evison is a surname most notably associated with New Zealand actress Pat Evison, recognized for her work in film, television, and theatre.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546fc620819093335988dbab3256 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557cb180819083ee10708320199e completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566f40c08190baec227fb660c948 completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65799ca588190b9f7a07f5c1a842c completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.