Triple
T13779772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project Runway |
E331102
|
entity |
| Predicate | judge |
P3169
|
FINISHED |
| Object |
Zac Posen
Zac Posen is an American fashion designer known for his glamorous red-carpet gowns and for serving as a judge on the reality TV show "Project Runway."
|
E1063935
|
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: Zac Posen | Statement: [Project Runway, judge, Zac Posen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zac Posen Context triple: [Project Runway, judge, Zac Posen]
-
A.
Christian Siriano
Christian Siriano is an American fashion designer known for winning "Project Runway" and for his inclusive, red-carpet–focused couture.
-
B.
Kenneth Jay Lane
Kenneth Jay Lane is a renowned American jewelry designer celebrated for his glamorous, high-quality costume jewelry favored by celebrities and socialites.
-
C.
Anthony Vaccarello
Anthony Vaccarello is a Belgian fashion designer best known as the creative director of the luxury French house Saint Laurent.
-
D.
Pablo Proenza
Pablo Proenza is a film editor best known for his work on Michael Moore’s documentary "Where to Invade Next."
-
E.
Marc Jacobs
Marc Jacobs is an influential American fashion designer known for his eponymous label and former role as creative director at Louis Vuitton.
- 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: Zac Posen Triple: [Project Runway, judge, Zac Posen]
Generated description
Zac Posen is an American fashion designer known for his glamorous red-carpet gowns and for serving as a judge on the reality TV show "Project Runway."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zac Posen Target entity description: Zac Posen is an American fashion designer known for his glamorous red-carpet gowns and for serving as a judge on the reality TV show "Project Runway."
-
A.
Christian Siriano
Christian Siriano is an American fashion designer known for winning "Project Runway" and for his inclusive, red-carpet–focused couture.
-
B.
Kenneth Jay Lane
Kenneth Jay Lane is a renowned American jewelry designer celebrated for his glamorous, high-quality costume jewelry favored by celebrities and socialites.
-
C.
Anthony Vaccarello
Anthony Vaccarello is a Belgian fashion designer best known as the creative director of the luxury French house Saint Laurent.
-
D.
Pablo Proenza
Pablo Proenza is a film editor best known for his work on Michael Moore’s documentary "Where to Invade Next."
-
E.
Marc Jacobs
Marc Jacobs is an influential American fashion designer known for his eponymous label and former role as creative director at Louis Vuitton.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d4af2081909628c1691e073f6f |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b9d773f881908660e8a0645d318d |
completed | May 3, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7bbf713ac81908d9447100901c41f |
completed | May 3, 2026, 9:19 p.m. |
Created at: April 9, 2026, 10:11 p.m.