Triple

T38472779
Position Surface form Disambiguated ID Type / Status
Subject The Group E915465 entity
Predicate basedOn P98 FINISHED
Object The Group (novel)
The Group (novel) is a 1963 bestselling book by Mary McCarthy that follows the intertwined lives of eight Vassar graduates in 1930s New York, noted for its frank treatment of sex, politics, and women’s social roles.
 E915465 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: The Group (novel) | Statement: [The Group, basedOn, The Group (novel)]
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: The Group (novel)
Triple: [The Group, basedOn, The Group (novel)]
Generated description
The Group (novel) is a 1963 bestselling book by Mary McCarthy that follows the intertwined lives of eight Vassar graduates in 1930s New York, noted for its frank treatment of sex, politics, and women’s social roles.

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_69f76e8ff5cc8190a88803369183845e completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd1ffbedc8190bd95510bf5b57803 completed May 7, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ccbcf8248190a1ea8265e5a1e5cb completed June 29, 2026, 1:39 a.m.
NEDg Description generation batch_6a41cdab97bc8190a6fef8d57f05a86e completed June 29, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_6a41ce4ee73c81908516e320c5f494ff completed June 29, 2026, 1:45 a.m.
Created at: May 3, 2026, 4:31 p.m.