Triple

T35481824
Position Surface form Disambiguated ID Type / Status
Subject Dark Sister E1025489 entity
Predicate notableWielder P207004 FINISHED
Object Prince Daemon Targaryen
Prince Daemon Targaryen is a fierce and ambitious Targaryen prince, dragonrider, and warrior from George R.R. Martin’s "A Song of Ice and Fire" universe, prominently featured in the "House of the Dragon" series.
E2162459 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: Prince Daemon Targaryen | Statement: [Dark Sister, notableWielder, Prince Daemon 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: Prince Daemon Targaryen
Triple: [Dark Sister, notableWielder, Prince Daemon Targaryen]
Generated description
Prince Daemon Targaryen is a fierce and ambitious Targaryen prince, dragonrider, and warrior from George R.R. Martin’s "A Song of Ice and Fire" universe, prominently featured in the "House of the Dragon" series.

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_69f76dfadba0819083456aadcd6864ea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a03809b0390819096079bac5444f38b completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38b6e085f881909971e4d083ebe8d8 completed June 22, 2026, 4:15 a.m.
NEDg Description generation batch_6a38b773d0288190810c55e95f7aa097 completed June 22, 2026, 4:17 a.m.
NED2 Entity disambiguation (via description) batch_6a38b7f01ad48190b26328f1cb7d578f completed June 22, 2026, 4:20 a.m.
Created at: May 3, 2026, 4:04 p.m.