Triple

T12944631
Position Surface form Disambiguated ID Type / Status
Subject Ha Jin E309728 entity
Predicate notableWork P4 FINISHED
Object Waiting
"Waiting" is a critically acclaimed novel by Chinese-American author Ha Jin that explores love, duty, and personal freedom in post-revolutionary China.
 E1011928 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: Waiting | Statement: [Ha Jin, notableWork, Waiting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waiting
Context triple: [Ha Jin, notableWork, Waiting]
  • A. Wait
    Wait is a given name historically used in English-speaking contexts, notably in early colonial America.
  • B. Wait
    "Wait" is a pop song by American band Maroon 5, released as a single from their 2017 album *Red Pill Blues*.
  • C. Wait
    "Wait" is a song by the Beatles, featured on their 1965 album Rubber Soul.
  • D. Waits
    Waits is the surname of American singer-songwriter, composer, and actor Tom Waits, known for his distinctive gravelly voice and eclectic, experimental style.
  • E. WAITS
    WAITS was an influential time-sharing operating system developed at Stanford University for the DEC PDP-10, notable for its advanced interactive computing and research-oriented features in the 1970s and 1980s.
  • 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: Waiting
Triple: [Ha Jin, notableWork, Waiting]
Generated description
"Waiting" is a critically acclaimed novel by Chinese-American author Ha Jin that explores love, duty, and personal freedom in post-revolutionary China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waiting
Target entity description: "Waiting" is a critically acclaimed novel by Chinese-American author Ha Jin that explores love, duty, and personal freedom in post-revolutionary China.
  • A. Wait
    Wait is a given name historically used in English-speaking contexts, notably in early colonial America.
  • B. Wait
    "Wait" is a song by the Beatles, featured on their 1965 album Rubber Soul.
  • C. Wait
    "Wait" is a pop song by American band Maroon 5, released as a single from their 2017 album *Red Pill Blues*.
  • D. Waits
    Waits is the surname of American singer-songwriter, composer, and actor Tom Waits, known for his distinctive gravelly voice and eclectic, experimental style.
  • E. WAITS
    WAITS was an influential time-sharing operating system developed at Stanford University for the DEC PDP-10, notable for its advanced interactive computing and research-oriented features in the 1970s and 1980s.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1b3694819098527dcea3cfed93 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af73e6348190be114e8c5ad181bf completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b066f3888190b925e5a43be57965 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1a539148190be7a4f16f738ca90 completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:43 p.m.