Triple

T36103285
Position Surface form Disambiguated ID Type / Status
Subject Aegon V Targaryen E1044280 entity
Predicate child P120 FINISHED
Object Duncan Targaryen
Duncan Targaryen, often called Duncan the Small, was a Targaryen prince of Westeros who famously abdicated his claim to the Iron Throne for love, triggering significant political consequences in George R. R. Martin’s A Song of Ice and Fire lore.
E2227060 NE FINISHED

How this triple was built (2 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: Duncan Targaryen | Statement: [Aegon V Targaryen, child, Duncan Targaryen]
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: Duncan Targaryen
Triple: [Aegon V Targaryen, child, Duncan Targaryen]
Generated description
Duncan Targaryen, often called Duncan the Small, was a Targaryen prince of Westeros who famously abdicated his claim to the Iron Throne for love, triggering significant political consequences in George R. R. Martin’s A Song of Ice and Fire lore.

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_69f76e338e2c8190b7f3bc68bec76349 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b291f61c8190affe7012cfe74b71 completed May 3, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40822ad96c81909974a079a44486e1 completed June 28, 2026, 2:08 a.m.
NEDg Description generation batch_6a4083b24c048190b303b6eee1215f01 completed June 28, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_6a408426fc288190aced51d929a577ef completed June 28, 2026, 2:17 a.m.
Created at: May 3, 2026, 4:08 p.m.