Triple
T10026932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFDA Menswear Designer of the Year |
E200753
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object |
Michael Bastian
Michael Bastian is an American fashion designer known for his modern, luxury take on classic menswear and his influential eponymous label.
|
E834940
|
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: Michael Bastian | Statement: [CFDA Menswear Designer of the Year, notableWinner, Michael Bastian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Bastian Context triple: [CFDA Menswear Designer of the Year, notableWinner, Michael Bastian]
-
A.
Roger Falcone
Roger Falcone is an American physicist known for his leadership in the scientific community and his research in ultrafast x-ray and laser science.
-
B.
Frank Gruber
Frank Gruber was an American writer best known for his prolific work in pulp fiction, mystery and Western novels, and Hollywood screenplays.
-
C.
Eric Falkenstein
Eric Falkenstein is a theater and film producer known for backing notable stage productions such as the play "Lucky Guy."
-
D.
Simon Gruber
Simon Gruber is the cunning German terrorist and mastermind villain in the action film "Die Hard with a Vengeance."
-
E.
Paul Brenner
Paul Brenner is an undercover U.S. Army Criminal Investigation Division agent who serves as the central protagonist in Nelson DeMille’s military crime thriller "The General’s Daughter."
- 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: Michael Bastian Triple: [CFDA Menswear Designer of the Year, notableWinner, Michael Bastian]
Generated description
Michael Bastian is an American fashion designer known for his modern, luxury take on classic menswear and his influential eponymous label.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Bastian Target entity description: Michael Bastian is an American fashion designer known for his modern, luxury take on classic menswear and his influential eponymous label.
-
A.
Roger Falcone
Roger Falcone is an American physicist known for his leadership in the scientific community and his research in ultrafast x-ray and laser science.
-
B.
Frank Gruber
Frank Gruber was an American writer best known for his prolific work in pulp fiction, mystery and Western novels, and Hollywood screenplays.
-
C.
Eric Falkenstein
Eric Falkenstein is a theater and film producer known for backing notable stage productions such as the play "Lucky Guy."
-
D.
Simon Gruber
Simon Gruber is the cunning German terrorist and mastermind villain in the action film "Die Hard with a Vengeance."
-
E.
Paul Brenner
Paul Brenner is an undercover U.S. Army Criminal Investigation Division agent who serves as the central protagonist in Nelson DeMille’s military crime thriller "The General’s Daughter."
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcde3c1b88190924e6158f406b453 |
completed | April 2, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26ac9cdfc8190b91746855bf3de12 |
completed | April 5, 2026, 1:59 p.m. |
| NEDg | Description generation | batch_69d26b9db3f88190bea466c91e16ca59 |
completed | April 5, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c2344f4819084e473a27b7f274d |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:54 p.m.