Triple

T17585591
Position Surface form Disambiguated ID Type / Status
Subject Zhu Ziqing E428312 entity
Predicate notableWork P4 FINISHED
Object Green
"Green" is a renowned lyrical prose essay by Chinese writer Zhu Ziqing, celebrated for its delicate depiction of natural scenery and reflective, poetic style.
 E1276505 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: Green | Statement: [Zhu Ziqing, notableWork, Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Green
Context triple: [Zhu Ziqing, notableWork, Green]
  • A. Green
    Green is a common English surname of Anglo-Saxon origin, typically derived from a descriptive nickname related to the color green or someone who lived near a village green.
  • B. Green
    Green is a color commonly used in transit systems to designate specific routes or lines, such as the Green Line E branch streetcar.
  • C. Green
    Green is a song featured on the album "Picture Perfect Morning."
  • D. Green
    Green is R.E.M.'s 1988 major-label debut album that marked a shift toward a more polished, politically tinged alternative rock sound and brought the band wider mainstream recognition.
  • E. Green
    Green is the informal title used to refer to Weezer’s self-titled 2001 album, distinguished by its green cover art.
  • 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: Green
Triple: [Zhu Ziqing, notableWork, Green]
Generated description
"Green" is a renowned lyrical prose essay by Chinese writer Zhu Ziqing, celebrated for its delicate depiction of natural scenery and reflective, poetic style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Green
Target entity description: "Green" is a renowned lyrical prose essay by Chinese writer Zhu Ziqing, celebrated for its delicate depiction of natural scenery and reflective, poetic style.
  • A. Green
    Green is a common English surname of Anglo-Saxon origin, typically derived from a descriptive nickname related to the color green or someone who lived near a village green.
  • B. Green
    Green is a color commonly used in transit systems to designate specific routes or lines, such as the Green Line E branch streetcar.
  • C. Green
    Green is a song featured on the album "Picture Perfect Morning."
  • D. Green
    Green is R.E.M.'s 1988 major-label debut album that marked a shift toward a more polished, politically tinged alternative rock sound and brought the band wider mainstream recognition.
  • E. Green
    Green is the informal title used to refer to Weezer’s self-titled 2001 album, distinguished by its green cover art.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d113b08190975506f3558c1eca completed April 19, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01ddf17144819089c5795fc5f0b1e7 completed May 11, 2026, 1:47 p.m.
NEDg Description generation batch_6a01df69ccfc81909de6d300e1d72ad1 completed May 11, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a01e05515d88190b343ebc1aad4a351 completed May 11, 2026, 1:57 p.m.
Created at: April 10, 2026, 5:50 a.m.