Triple
T15790473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C219 |
E382850
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object |
Michael Fink
Michael Fink is a fashion designer known for his work in high-end apparel and creative direction within the fashion industry.
|
E1222123
|
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 Fink | Statement: [C219, designer, Michael Fink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Fink Context triple: [C219, designer, Michael Fink]
-
A.
Michael Fimognari
Michael Fimognari is an American cinematographer and director known for his work on films such as "Before I Fall" and the "To All the Boys I've Loved Before" series.
-
B.
Michael Raffetto
Michael Raffetto was an American radio actor best known for his prominent roles in classic radio dramas during the 1930s and 1940s.
-
C.
Michael Fetterly
Michael Fetterly is a voice actor known for portraying the character Uncle Fester in an adaptation of The Addams Family.
-
D.
Greg Finton
Greg Finton is a film editor known for his work on documentaries and feature films, including the acclaimed documentary "He Named Me Malala."
-
E.
Michael Sarnoski
Michael Sarnoski is an American filmmaker and screenwriter best known for directing the acclaimed drama "Pig" and later helming the horror prequel "A Quiet Place: Day One."
- 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 Fink Triple: [C219, designer, Michael Fink]
Generated description
Michael Fink is a fashion designer known for his work in high-end apparel and creative direction within the fashion industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Fink Target entity description: Michael Fink is a fashion designer known for his work in high-end apparel and creative direction within the fashion industry.
-
A.
Michael Fimognari
Michael Fimognari is an American cinematographer and director known for his work on films such as "Before I Fall" and the "To All the Boys I've Loved Before" series.
-
B.
Michael Raffetto
Michael Raffetto was an American radio actor best known for his prominent roles in classic radio dramas during the 1930s and 1940s.
-
C.
Michael Fetterly
Michael Fetterly is a voice actor known for portraying the character Uncle Fester in an adaptation of The Addams Family.
-
D.
Greg Finton
Greg Finton is a film editor known for his work on documentaries and feature films, including the acclaimed documentary "He Named Me Malala."
-
E.
Michael Sarnoski
Michael Sarnoski is an American filmmaker and screenwriter best known for directing the acclaimed drama "Pig" and later helming the horror prequel "A Quiet Place: Day One."
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d819c881908bc43a6124a1bb2e |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758380d08190bfe73d3e052c1f0a |
completed | May 10, 2026, 12:09 p.m. |
| NEDg | Description generation | batch_6a0075fbae188190997691533b43ff69 |
completed | May 10, 2026, 12:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0076d825ac81909647fb82b4a6914e |
completed | May 10, 2026, 12:15 p.m. |
Created at: April 10, 2026, 4:48 a.m.