Triple

T29136798
Position Surface form Disambiguated ID Type / Status
Subject Katara E738529 entity
Predicate learnedBloodbendingFrom P166358 FINISHED
Object Hama
Hama is a Southern Water Tribe waterbender from "Avatar: The Last Airbender" known for developing and teaching the dark art of bloodbending.
 E1851126 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: Hama | Statement: [Katara, learnedBloodbendingFrom, Hama]
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: Hama
Triple: [Katara, learnedBloodbendingFrom, Hama]
Generated description
Hama is a Southern Water Tribe waterbender from "Avatar: The Last Airbender" known for developing and teaching the dark art of bloodbending.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: learnedBloodbendingFrom
Context triple: [Katara, learnedBloodbendingFrom, Hama]
  • A. learnedIn
    Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
  • B. learnsSkill
    Indicates that an entity acquires or develops a particular skill through learning or practice.
  • C. canBeLearnedBy
    Indicates that a particular subject, skill, or knowledge is capable of being acquired or mastered by a specified learner or group of learners.
  • D. learnedFromDemons
    Indicates that an entity acquired knowledge, skills, or information through interaction or instruction from demons.
  • E. hasBlackBeltIn
    Indicates that an entity holds a black belt rank or equivalent high-level certification in a specified martial art or discipline.
  • 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_69f07cb3adb48190a9e0e169cd026634 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6626b8aa881908e1bf4776c2feea9 completed May 2, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2537d84748819081a66b7a9a4ecb0c completed June 7, 2026, 9:20 a.m.
NEDg Description generation batch_6a25434514a881908b265fa2f5f18e82 completed June 7, 2026, 10:09 a.m.
NED2 Entity disambiguation (via description) batch_6a2543b4cf948190a88207802bbf6ebc completed June 7, 2026, 10:11 a.m.
PD Predicate disambiguation batch_69f65c2376a08190be5215171e908e69 completed May 2, 2026, 8:18 p.m.
PDg Predicate description generation batch_69f65f75ac608190a62cd6afce14f68e completed May 2, 2026, 8:32 p.m.
Created at: April 28, 2026, 11:34 a.m.