Triple

T29051252
Position Surface form Disambiguated ID Type / Status
Subject Laura Kinney E735265 entity
Predicate firstComicAppearance P78612 FINISHED
Object NYX #3
NYX #3 is a Marvel Comics issue best known for introducing Laura Kinney, the mutant clone who would become the popular X-23 and later Wolverine.
 E1847861 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: NYX #3 | Statement: [Laura Kinney, firstComicAppearance, NYX #3]
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: NYX #3
Triple: [Laura Kinney, firstComicAppearance, NYX #3]
Generated description
NYX #3 is a Marvel Comics issue best known for introducing Laura Kinney, the mutant clone who would become the popular X-23 and later Wolverine.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: firstComicAppearance
Context triple: [Laura Kinney, firstComicAppearance, NYX #3]
  • A. firstAppearanceInComicsIssue chosen
    Indicates the specific comic book issue in which an entity (such as a character or item) is depicted for the first time.
  • B. firstPopularAppearance
    Indicates the earliest notable or widely recognized appearance of an entity in a public or popular context.
  • C. firstAppearanceFor
    Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
  • D. firstAppearancePublisher
    Indicates the publisher responsible for releasing an entity’s first appearance.
  • E. firstAppearanceFranchise
    Indicates the franchise in which an entity made its first appearance.
  • F. None of above.

Provenance (6 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_69f077e64b88819094d37bdbca8191b3 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_6a007ef69f5c8190be6fb89e918d30fa completed May 10, 2026, 12:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a251f77b5888190911f271c7d2f2f8c completed June 7, 2026, 7:36 a.m.
NEDg Description generation batch_6a2523ff3900819093dcccd970c9cea5 completed June 7, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a2527e117c88190989c7965f5d99f87 completed June 7, 2026, 8:12 a.m.
PD Predicate disambiguation batch_6a007e4060448190ad7420b07c1fe219 completed May 10, 2026, 12:46 p.m.
Created at: April 28, 2026, 10:08 a.m.