Triple

T24860506
Position Surface form Disambiguated ID Type / Status
Subject Siri Hustvedt E622137 entity
Predicate notableWork P4 FINISHED
Object The Summer Without Men
The Summer Without Men is a 2011 novel by Siri Hustvedt that follows a poet recovering from a marital crisis as she spends a transformative summer among women of different generations in her Minnesota hometown.
 E1650721 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 Summer Without Men | Statement: [Siri Hustvedt, notableWork, The Summer Without Men]
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 Summer Without Men
Triple: [Siri Hustvedt, notableWork, The Summer Without Men]
Generated description
The Summer Without Men is a 2011 novel by Siri Hustvedt that follows a poet recovering from a marital crisis as she spends a transformative summer among women of different generations in her Minnesota hometown.

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_69e2fac350d08190b3affde1b451a8c5 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f422ebb4888190861cd76b56a29ae2 completed May 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c5950908190a1425f40c1eff647 completed May 22, 2026, 9:05 a.m.
NEDg Description generation batch_6a1024ac6320819099045f28aea135cf completed May 22, 2026, 9:41 a.m.
NED2 Entity disambiguation (via description) batch_6a10258f82b4819095231c1c9398b2c8 completed May 22, 2026, 9:44 a.m.
Created at: April 18, 2026, 5:22 a.m.