Triple

T1746470
Position Surface form Disambiguated ID Type / Status
Subject Michelle Kwan E38346 entity
Predicate familyName P18 FINISHED
Object Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
 E197729 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: Kwan | Statement: [Michelle Kwan, familyName, Kwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kwan
Context triple: [Michelle Kwan, familyName, Kwan]
  • A. Jin
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • B. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • C. Sojin
    Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
  • D. Shungnak
    Shungnak is a small Inupiat village in northwestern Alaska known for its remote location above the Arctic Circle and traditional subsistence lifestyle.
  • E. Wako
    Wako is a suburban city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and commuter hub.
  • 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: Kwan
Triple: [Michelle Kwan, familyName, Kwan]
Generated description
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kwan
Target entity description: Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • A. Jin
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • B. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • C. Sojin
    Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
  • D. Shungnak
    Shungnak is a small Inupiat village in northwestern Alaska known for its remote location above the Arctic Circle and traditional subsistence lifestyle.
  • E. Wako
    Wako is a suburban city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and commuter hub.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63eabdf48190878ecde3d1b1faf3 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0de0ff08190bb7758e3ba32de80 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada524a234819082f94430da4e802d completed March 8, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69ada5bc32ac8190a921410bdfa465fa completed March 8, 2026, 4:37 p.m.
Created at: March 4, 2026, 7:31 p.m.