Triple
T18896087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pictures Generation |
E462210
|
entity |
| Predicate | hasNotableArtist |
P2487
|
FINISHED |
| Object |
Matt Mullican
Matt Mullican is an American conceptual artist known for his complex cosmologies, use of pictograms, and explorations of perception, symbolism, and altered states of consciousness.
|
E1348316
|
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: Matt Mullican | Statement: [Pictures Generation, hasNotableArtist, Matt Mullican]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Mullican Context triple: [Pictures Generation, hasNotableArtist, Matt Mullican]
-
A.
Jack Mulhall
Jack Mulhall was an American film actor best known for his prolific work in silent films and early talkies during the 1920s and 1930s.
-
B.
John McNulta
John McNulta was a 19th-century American lawyer, Civil War officer, and U.S. Representative from Illinois.
-
C.
Jack Mullen
Jack Mullen is a relatively obscure individual whose specific public significance is not clearly established from the available information.
-
D.
Jim Mulholland
Jim Mulholland is an American screenwriter known for his work on action-comedy films, including contributing to the script of "Bad Boys."
-
E.
Patrick Mullally
Patrick Mullally was the husband of American film and television actress Gloria Talbott.
- 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: Matt Mullican Triple: [Pictures Generation, hasNotableArtist, Matt Mullican]
Generated description
Matt Mullican is an American conceptual artist known for his complex cosmologies, use of pictograms, and explorations of perception, symbolism, and altered states of consciousness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Mullican Target entity description: Matt Mullican is an American conceptual artist known for his complex cosmologies, use of pictograms, and explorations of perception, symbolism, and altered states of consciousness.
-
A.
Jack Mulhall
Jack Mulhall was an American film actor best known for his prolific work in silent films and early talkies during the 1920s and 1930s.
-
B.
John McNulta
John McNulta was a 19th-century American lawyer, Civil War officer, and U.S. Representative from Illinois.
-
C.
Jack Mullen
Jack Mullen is a relatively obscure individual whose specific public significance is not clearly established from the available information.
-
D.
Jim Mulholland
Jim Mulholland is an American screenwriter known for his work on action-comedy films, including contributing to the script of "Bad Boys."
-
E.
Patrick Mullally
Patrick Mullally was the husband of American film and television actress Gloria Talbott.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47eb0688190882c68d0d6fa9348 |
completed | April 20, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0582b91a448190b080d3c9c958f2b2 |
completed | May 14, 2026, 8:07 a.m. |
| NEDg | Description generation | batch_6a0588c516ec81908d6939f447e7f590 |
completed | May 14, 2026, 8:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0589612cbc819086bccc55658921e0 |
completed | May 14, 2026, 8:35 a.m. |
Created at: April 10, 2026, 11:58 a.m.