Triple

T1665040
Position Surface form Disambiguated ID Type / Status
Subject Takashi Murakami E35990 entity
Predicate notableWork P4 FINISHED
Object Tan Tan Bo
Tan Tan Bo is a psychedelic, cartoonish monster painting by Japanese artist Takashi Murakami that exemplifies his Superflat style and fusion of pop culture with fine art.
E188491 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: Tan Tan Bo | Statement: [Takashi Murakami, notableWork, Tan Tan Bo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tan Tan Bo
Context triple: [Takashi Murakami, notableWork, Tan Tan Bo]
  • A. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • B. Tigak
    Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
  • C. Ma Kai
    Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
  • D. Cim Bom
    Cim Bom is a popular nickname for Galatasaray SK, one of Turkey’s most successful and widely supported football clubs.
  • E. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • 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: Tan Tan Bo
Triple: [Takashi Murakami, notableWork, Tan Tan Bo]
Generated description
Tan Tan Bo is a psychedelic, cartoonish monster painting by Japanese artist Takashi Murakami that exemplifies his Superflat style and fusion of pop culture with fine art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tan Tan Bo
Target entity description: Tan Tan Bo is a psychedelic, cartoonish monster painting by Japanese artist Takashi Murakami that exemplifies his Superflat style and fusion of pop culture with fine art.
  • A. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • B. Tigak
    Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
  • C. Ma Kai
    Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
  • D. Cim Bom
    Cim Bom is a popular nickname for Galatasaray SK, one of Turkey’s most successful and widely supported football clubs.
  • E. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90adacf0481909fc2213567a4a8af completed March 5, 2026, 4:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad682fd42881908ecd0f331e81aba8 completed March 8, 2026, 12:14 p.m.
NEDg Description generation batch_69ad69c8af5481909d73d90e1dcaf560 completed March 8, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_69ad6a4aebb88190a27350216add031b completed March 8, 2026, 12:23 p.m.
Created at: March 4, 2026, 7:29 p.m.