Triple

T29315516
Position Surface form Disambiguated ID Type / Status
Subject Bolin E743365 entity
Predicate learnedLavabendingFrom P166833 FINISHED
Object Ghazan
Ghazan is a powerful Red Lotus member and skilled earthbender from The Legend of Korra, notable for his rare ability to lavabend.
E1864830 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: Ghazan | Statement: [Bolin, learnedLavabendingFrom, Ghazan]
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: Ghazan
Triple: [Bolin, learnedLavabendingFrom, Ghazan]
Generated description
Ghazan is a powerful Red Lotus member and skilled earthbender from The Legend of Korra, notable for his rare ability to lavabend.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: learnedLavabendingFrom
Context triple: [Bolin, learnedLavabendingFrom, Ghazan]
  • A. learnedBloodbendingFrom
    Indicates that one entity acquired the ability or knowledge of bloodbending through instruction or training from another entity.
  • B. canBeLearnedBy
    Indicates that a particular subject, skill, or knowledge is capable of being acquired or mastered by a specified learner or group of learners.
  • C. learnedIn
    Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
  • D. successorAsPotionsMaster
    Indicates that one entity becomes the next Potions Master after another entity, taking over that role or position.
  • E. learnedFromDemons
    Indicates that an entity acquired knowledge, skills, or information through interaction or instruction from demons.
  • F. None of above. chosen

Provenance (7 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_69f0912502c8819087d9e8398ee991a8 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f665ea0a8c8190a0c50c44cec4d9bb completed May 2, 2026, 9 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25c0e88904819091cd0e5476547c82 completed June 7, 2026, 7:05 p.m.
NEDg Description generation batch_6a25c5320dcc8190a952a813227cc432 completed June 7, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a25ca42d1f08190a6b399b64806cf2f completed June 7, 2026, 7:45 p.m.
PD Predicate disambiguation batch_69f660f2e3708190ab658652bcfc04d0 completed May 2, 2026, 8:39 p.m.
PDg Predicate description generation batch_69f661e9cb308190a56e25dc17df248e completed May 2, 2026, 8:43 p.m.
Created at: April 28, 2026, 1:19 p.m.