Triple

T18753951
Position Surface form Disambiguated ID Type / Status
Subject Beijing Olympians E458597 entity
Predicate notablePlayer P304 FINISHED
Object Mengke Bateer
Mengke Bateer is a Chinese professional basketball player and former NBA center known for his size, interior play, and contributions to the Chinese national team.
E1341401 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: Mengke Bateer | Statement: [Beijing Olympians, notablePlayer, Mengke Bateer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mengke Bateer
Context triple: [Beijing Olympians, notablePlayer, Mengke Bateer]
  • A. Rinchinbal Khan
    Rinchinbal Khan was a short-reigning 14th-century Mongol emperor of the Yuan dynasty who briefly held the title of Great Khan of the Mongol Empire.
  • B. Huzhu Monguor
    Huzhu Monguor is a major dialect of the Monguor (Tu) language spoken primarily in Huzhu County of Qinghai Province, China.
  • C. Sanzhi Dargwa
    Sanzhi Dargwa is a Northeast Caucasian (Dargic) language spoken by the Sanzhi community in Dagestan, Russia.
  • D. Changshi Khan
    Changshi Khan was a 14th-century ruler of the Chagatai Khanate, a Mongol successor state in Central Asia.
  • E. Sandha Khin
    Sandha Khin is an actress known for appearing in the independent musical film "Guy and Madeline on a Park Bench."
  • 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: Mengke Bateer
Triple: [Beijing Olympians, notablePlayer, Mengke Bateer]
Generated description
Mengke Bateer is a Chinese professional basketball player and former NBA center known for his size, interior play, and contributions to the Chinese national team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mengke Bateer
Target entity description: Mengke Bateer is a Chinese professional basketball player and former NBA center known for his size, interior play, and contributions to the Chinese national team.
  • A. Rinchinbal Khan
    Rinchinbal Khan was a short-reigning 14th-century Mongol emperor of the Yuan dynasty who briefly held the title of Great Khan of the Mongol Empire.
  • B. Huzhu Monguor
    Huzhu Monguor is a major dialect of the Monguor (Tu) language spoken primarily in Huzhu County of Qinghai Province, China.
  • C. Sanzhi Dargwa
    Sanzhi Dargwa is a Northeast Caucasian (Dargic) language spoken by the Sanzhi community in Dagestan, Russia.
  • D. Changshi Khan
    Changshi Khan was a 14th-century ruler of the Chagatai Khanate, a Mongol successor state in Central Asia.
  • E. Sandha Khin
    Sandha Khin is an actress known for appearing in the independent musical film "Guy and Madeline on a Park Bench."
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579ef4ee48190a9892ac9787ffe37 completed April 20, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d36fc908190b3193d52ce4504ce completed May 14, 2026, 3:10 a.m.
NEDg Description generation batch_6a053e216ce0819093f0e9e9b707fca8 completed May 14, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a053ed266a481908dc9ff85e1d7cf4f completed May 14, 2026, 3:17 a.m.
Created at: April 10, 2026, 11:51 a.m.