Triple

T9792197
Position Surface form Disambiguated ID Type / Status
Subject Chang-rae Lee E237631 entity
Predicate notableWork P4 FINISHED
Object Aloft
Aloft is a novel by Chang-rae Lee that explores themes of family, identity, and emotional isolation through the perspective of a middle-aged Korean American man on Long Island.
E821957 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: Aloft | Statement: [Chang-rae Lee, notableWork, Aloft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aloft
Context triple: [Chang-rae Lee, notableWork, Aloft]
  • A. Kimpton
    Kimpton is a rural civil parish and village in Hampshire, England, known for its historic church and countryside setting.
  • B. Kimpton
    Kimpton is a small rural village and civil parish in Hertfordshire, England, known for its historic church and traditional English countryside setting.
  • C. Ace Hotel
    Ace Hotel is a boutique hotel chain known for its hip, design-focused properties that cater to creative, urban travelers.
  • D. W Hotels
    W Hotels is a global luxury lifestyle hotel chain known for its stylish design, vibrant social scene, and contemporary, boutique-inspired accommodations.
  • E. The Omni
    The Omni was a multi-purpose indoor arena in Atlanta, Georgia, that hosted professional and collegiate sports as well as major entertainment events from the 1970s through the 1990s.
  • 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: Aloft
Triple: [Chang-rae Lee, notableWork, Aloft]
Generated description
Aloft is a novel by Chang-rae Lee that explores themes of family, identity, and emotional isolation through the perspective of a middle-aged Korean American man on Long Island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aloft
Target entity description: Aloft is a novel by Chang-rae Lee that explores themes of family, identity, and emotional isolation through the perspective of a middle-aged Korean American man on Long Island.
  • A. Kimpton
    Kimpton is a rural civil parish and village in Hampshire, England, known for its historic church and countryside setting.
  • B. Kimpton
    Kimpton is a small rural village and civil parish in Hertfordshire, England, known for its historic church and traditional English countryside setting.
  • C. Ace Hotel
    Ace Hotel is a boutique hotel chain known for its hip, design-focused properties that cater to creative, urban travelers.
  • D. W Hotels
    W Hotels is a global luxury lifestyle hotel chain known for its stylish design, vibrant social scene, and contemporary, boutique-inspired accommodations.
  • E. The Omni
    The Omni was a multi-purpose indoor arena in Atlanta, Georgia, that hosted professional and collegiate sports as well as major entertainment events from the 1970s through the 1990s.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda3456bac819097afb20ce9081dd7 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c43141cc81908c45a3f5d5103564 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4b07cec8190a2e6c49efad3a841 completed April 5, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69d1c547a9808190b96face03c4203b0 completed April 5, 2026, 2:13 a.m.
Created at: March 30, 2026, 8:28 p.m.