Triple

T15358085
Position Surface form Disambiguated ID Type / Status
Subject Lloyd Garmadon E367214 entity
Predicate ally P4662 FINISHED
Object Jay
Jay is one of the main ninja protagonists from the Ninjago franchise, known for his mastery of lightning and his energetic, talkative personality.
 E1151114 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: Jay | Statement: [Lloyd Garmadon, ally, Jay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jay
Context triple: [Lloyd Garmadon, ally, Jay]
  • A. Jay
    Jay is the surname of John Jay, a prominent American Founding Father and the first Chief Justice of the United States.
  • B. Jay
    Jay is a small town located in Santa Rosa County in the northwestern part of Florida.
  • C. Jay
    Jay is a former American football placekicker and current sports commentator best known for his long NFL career and broadcasting work.
  • D. Jay
    Jay is a foul-mouthed, slacker stoner character from Kevin Smith’s View Askewniverse, best known as one half of the comedic duo Jay and Silent Bob.
  • E. Jay
    Jay is the given name of Whittaker Chambers, the American writer and former Soviet spy best known for his role in the Alger Hiss case.
  • 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: Jay
Triple: [Lloyd Garmadon, ally, Jay]
Generated description
Jay is one of the main ninja protagonists from the Ninjago franchise, known for his mastery of lightning and his energetic, talkative personality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jay
Target entity description: Jay is one of the main ninja protagonists from the Ninjago franchise, known for his mastery of lightning and his energetic, talkative personality.
  • A. Jay chosen
    Jay is one of the central ninja heroes in the Lego Ninjago franchise, known for his mastery of lightning and his energetic, humorous personality.
  • B. Jay
    Jay is a key young activist character in the film "Okja," involved in the animal-rights resistance against a powerful corporation.
  • C. Jay
    Jay is a foul-mouthed, slacker stoner character from Kevin Smith’s View Askewniverse, best known as one half of the comedic duo Jay and Silent Bob.
  • D. Jay
    Jay is a masculine given name commonly used in English-speaking countries, often derived from the jaybird or as a short form of names like Jason or James.
  • E. Jay
    Jay is the given name of Whittaker Chambers, the American writer and former Soviet spy best known for his role in the Alger Hiss case.
  • F. None of above.

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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2d4934819097fc63603964217c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b45e3048190a7fa62ead6916fed completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0f400ec08190961c63f957efe107 completed May 9, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_69ff0fbef36081908a0f6317a32f9c28 completed May 9, 2026, 10:43 a.m.
Created at: April 10, 2026, 3:18 a.m.