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.