Triple

T15358062
Position Surface form Disambiguated ID Type / Status
Subject Lloyd Garmadon E367214 entity
Predicate alias P39 FINISHED
Object Green Ninja
The Green Ninja is the legendary elemental hero identity assumed by Lloyd Garmadon in the Ninjago universe, destined to bring balance and oppose evil.
 E1153487 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: Green Ninja | Statement: [Lloyd Garmadon, alias, Green Ninja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Green Ninja
Context triple: [Lloyd Garmadon, alias, Green Ninja]
  • A. Supah Ninjas
    Supah Ninjas is a live-action Nickelodeon television series that follows three teenagers secretly trained as ninjas to fight crime.
  • B. Beverly Hills Ninja
    Beverly Hills Ninja is a 1997 slapstick comedy film starring Chris Farley as an inept but well-meaning ninja who bumbles his way through a crime-fighting adventure in Beverly Hills.
  • C. Three Ninjas
    Three Ninjas is a 1992 family martial-arts comedy film about three young brothers trained by their grandfather who use their ninja skills to thwart criminals.
  • D. Chop Chop Ninja
    Chop Chop Ninja is a fast-paced, martial arts-themed action game featuring stylized combat and arcade-style gameplay.
  • E. Ninja
    Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
  • 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: Green Ninja
Triple: [Lloyd Garmadon, alias, Green Ninja]
Generated description
The Green Ninja is the legendary elemental hero identity assumed by Lloyd Garmadon in the Ninjago universe, destined to bring balance and oppose evil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Green Ninja
Target entity description: The Green Ninja is the legendary elemental hero identity assumed by Lloyd Garmadon in the Ninjago universe, destined to bring balance and oppose evil.
  • A. Supah Ninjas
    Supah Ninjas is a live-action Nickelodeon television series that follows three teenagers secretly trained as ninjas to fight crime.
  • B. Beverly Hills Ninja
    Beverly Hills Ninja is a 1997 slapstick comedy film starring Chris Farley as an inept but well-meaning ninja who bumbles his way through a crime-fighting adventure in Beverly Hills.
  • C. Three Ninjas
    Three Ninjas is a 1992 family martial-arts comedy film about three young brothers trained by their grandfather who use their ninja skills to thwart criminals.
  • D. Chop Chop Ninja
    Chop Chop Ninja is a fast-paced, martial arts-themed action game featuring stylized combat and arcade-style gameplay.
  • E. Ninja
    Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
  • 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_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.