Triple

T24458263
Position Surface form Disambiguated ID Type / Status
Subject Virago Press E616747 entity
Predicate foundedBy P104 FINISHED
Object Carmen Callil
Carmen Callil was an influential Australian-born British publisher and feminist who became best known for championing women’s writing and co-founding the groundbreaking feminist publishing house Virago Press.
E1634967 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: Carmen Callil | Statement: [Virago Press, foundedBy, Carmen Callil]
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: Carmen Callil
Triple: [Virago Press, foundedBy, Carmen Callil]
Generated description
Carmen Callil was an influential Australian-born British publisher and feminist who became best known for championing women’s writing and co-founding the groundbreaking feminist publishing house Virago Press.

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_69e2d7ef9fe08190a0613908758b4e86 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f298c812bc8190969836ee8f0eb2f2 completed April 29, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe38aa3a88190aaffda5dcb8d699c completed May 22, 2026, 5:03 a.m.
NEDg Description generation batch_6a0fe4bfcea881909cf308d946a88c4c completed May 22, 2026, 5:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe54cbdac8190b45d5570023762c4 completed May 22, 2026, 5:10 a.m.
Created at: April 18, 2026, 2:19 a.m.