Triple
T13779768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project Runway |
E331102
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object | Christian Siriano |
E601669
|
NE FINISHED |
How this triple was built (2 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: Christian Siriano | Statement: [Project Runway, presenter, Christian Siriano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Siriano Context triple: [Project Runway, presenter, Christian Siriano]
-
A.
Christian Siriano
chosen
Christian Siriano is an American fashion designer known for winning "Project Runway" and for his inclusive, red-carpet–focused couture.
-
B.
Nicole Miller
Nicole Miller is an American fashion designer renowned for her modern, feminine womenswear and bold use of color and print.
-
C.
Anthony Vaccarello
Anthony Vaccarello is a Belgian fashion designer best known as the creative director of the luxury French house Saint Laurent.
-
D.
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.
-
E.
Cynthia Rowley
Cynthia Rowley is an American fashion designer known for her playful, colorful, and adventurous ready-to-wear and accessories collections.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f7b07670b08190a205d3c7ccb9dded |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.