Triple

T11669259
Position Surface form Disambiguated ID Type / Status
Subject Whizzer E277334 entity
Predicate parentOf P120 FINISHED
Object Nuklo
Nuklo is a Marvel Comics superhuman character known as the radioactive, energy-emitting son of the speedster Whizzer.
 E939517 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: Nuklo | Statement: [Whizzer, parentOf, Nuklo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nuklo
Context triple: [Whizzer, parentOf, Nuklo]
  • A. Nuk
    Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
  • B. Nuka
    Nuka is a scruffy, resentful lion and one of the antagonists in Disney’s The Lion King II: Simba’s Pride, known as Zira’s eldest son and Kovu’s jealous older brother.
  • C. Nukerke
    Nukerke is a former village and municipality in East Flanders, Belgium, that was incorporated into the municipality of Maarkedal.
  • D. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • E. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • 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: Nuklo
Triple: [Whizzer, parentOf, Nuklo]
Generated description
Nuklo is a Marvel Comics superhuman character known as the radioactive, energy-emitting son of the speedster Whizzer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nuklo
Target entity description: Nuklo is a Marvel Comics superhuman character known as the radioactive, energy-emitting son of the speedster Whizzer.
  • A. Nuk
    Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
  • B. Nuka
    Nuka is a scruffy, resentful lion and one of the antagonists in Disney’s The Lion King II: Simba’s Pride, known as Zira’s eldest son and Kovu’s jealous older brother.
  • C. Nukerke
    Nukerke is a former village and municipality in East Flanders, Belgium, that was incorporated into the municipality of Maarkedal.
  • D. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • E. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a440d8a481909a13c97813408bc8 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13c3ea648190ae18cd2869be74ad completed April 27, 2026, 7:44 a.m.
NEDg Description generation batch_69ef3550fae881909246cd4cca047a19 completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef519f95488190b4b5a167aa930133 completed April 27, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:39 p.m.