Triple

T3374047
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Egan E71022 entity
Predicate notableWork P4 FINISHED
Object The Keep
The Keep is a 2006 novel by Jennifer Egan that blends gothic suspense with postmodern storytelling to explore memory, guilt, and the power of narrative.
E352265 NE FINISHED

How this triple was built (4 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 Keep | Statement: [Jennifer Egan, notableWork, The Keep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Keep
Context triple: [Jennifer Egan, notableWork, The Keep]
  • A. The Dungeons
    The Dungeons is an immersive, horror-themed live attraction brand that recreates gruesome and dark episodes of local history through theatrical shows and interactive experiences.
  • B. The Tower
    The Tower is the famous historic castle complex on the north bank of the River Thames in London, renowned for its role as a royal palace, prison, and fortress.
  • C. The Tower
    The Tower is a 1928 poetry collection by W.B. Yeats that reflects his mature style, blending Irish myth, personal reflection, and meditations on aging and artistic legacy.
  • D. The Tower
    The Tower is a film featuring Russian actress Svetlana Khodchenkova in a prominent role.
  • E. Knightsridge
    Knightsridge is a residential area and housing estate located within the town of Livingston in West Lothian, Scotland.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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 Keep
Triple: [Jennifer Egan, notableWork, The Keep]
Generated description
The Keep is a 2006 novel by Jennifer Egan that blends gothic suspense with postmodern storytelling to explore memory, guilt, and the power of narrative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Keep
Target entity description: The Keep is a 2006 novel by Jennifer Egan that blends gothic suspense with postmodern storytelling to explore memory, guilt, and the power of narrative.
  • A. The Dungeons
    The Dungeons is an immersive, horror-themed live attraction brand that recreates gruesome and dark episodes of local history through theatrical shows and interactive experiences.
  • B. The Tower
    The Tower is the famous historic castle complex on the north bank of the River Thames in London, renowned for its role as a royal palace, prison, and fortress.
  • C. The Tower
    The Tower is a 1928 poetry collection by W.B. Yeats that reflects his mature style, blending Irish myth, personal reflection, and meditations on aging and artistic legacy.
  • D. The Tower
    The Tower is a film featuring Russian actress Svetlana Khodchenkova in a prominent role.
  • E. Knightsridge
    Knightsridge is a residential area and housing estate located within the town of Livingston in West Lothian, Scotland.
  • F. None of above. chosen

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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bf4ad88190a2c49dc30f323a13 completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33442f28c8190b48a662a5dd1bac3 completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334bd2cf081908503cb4cbdfc998c completed March 12, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69b33529b31c8190811a659df8c5d2d4 completed March 12, 2026, 9:50 p.m.
Created at: March 8, 2026, 3:13 p.m.