Triple

T30511044
Position Surface form Disambiguated ID Type / Status
Subject The Wind on Fire trilogy E776422 entity
Predicate hasPart P35 FINISHED
Object Firesong
Firesong is the third and final novel in William Nicholson’s Wind on Fire fantasy trilogy, concluding the story of the Hath family and their struggle against tyranny and spiritual corruption.
E1917504 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: Firesong | Statement: [The Wind on Fire trilogy, hasPart, Firesong]
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: Firesong
Triple: [The Wind on Fire trilogy, hasPart, Firesong]
Generated description
Firesong is the third and final novel in William Nicholson’s Wind on Fire fantasy trilogy, concluding the story of the Hath family and their struggle against tyranny and spiritual corruption.

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_69f2249a155c8190b1d512106007e9bb completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f687b8c6448190a0f724dbaefcf023 completed May 2, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27ac3b26708190a77764a23dff69b5 completed June 9, 2026, 6:01 a.m.
NEDg Description generation batch_6a27ae790df481908f7f4daf908c71cd completed June 9, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_6a27afb73dec81908a2aab12940f4ab2 completed June 9, 2026, 6:16 a.m.
Created at: April 29, 2026, 8:16 p.m.