Triple

T24641784

Position	Surface form	Disambiguated ID	Type / Status
Subject	Claire Rushbrook	`E609985`	entity
Predicate	notableWork	`P4`	FINISHED
Object	Carrie’s War Carrie’s War is a children’s historical novel by Nina Bawden, set during World War II and following two evacuated siblings as they navigate life with a strict Welsh host family.	`E1645145`	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: Carrie’s War | Statement: [Claire Rushbrook, notableWork, Carrie’s War]

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: Carrie’s War
Triple: [Claire Rushbrook, notableWork, Carrie’s War]

Generated description

Carrie’s War is a children’s historical novel by Nina Bawden, set during World War II and following two evacuated siblings as they navigate life with a strict Welsh host family.

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_69e2c4d28f848190ac38c400060e943d`	completed	April 17, 2026, 11:40 p.m.
NER	Named-entity recognition	`batch_69f2afe918888190a2b7b465caf95949`	completed	April 30, 2026, 1:27 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1004923a94819093a4d3bce5dd4ea9`	completed	May 22, 2026, 7:24 a.m.
NEDg	Description generation	`batch_6a10079f208c81908f5683ebb2401950`	completed	May 22, 2026, 7:37 a.m.
NED2	Entity disambiguation (via description)	`batch_6a100857ceec81909d4a9169cb7cafe3`	completed	May 22, 2026, 7:40 a.m.

Created at: April 18, 2026, 2:33 a.m.