Triple
T17198961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Porter |
E417425
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Lilly Pulitzer |
E240718
|
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: Lilly Pulitzer | Statement: [Sarah Porter, notableStudent, Lilly Pulitzer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilly Pulitzer Context triple: [Sarah Porter, notableStudent, Lilly Pulitzer]
-
A.
Lilly Pulitzer
chosen
Lilly Pulitzer was an American fashion designer and socialite best known for her brightly colored, tropical-print dresses that became emblematic of preppy resort wear.
-
B.
Ann Taylor
Ann Taylor was a daughter of U.S. President Zachary Taylor and the sister of Sarah Knox Taylor, belonging to the prominent 19th-century Taylor family.
-
C.
Liz Claiborne
Liz Claiborne was a pioneering American fashion designer and businesswoman who founded the Liz Claiborne Inc. brand, becoming one of the first female CEOs of a Fortune 500 company.
-
D.
Cynthia Rowley
Cynthia Rowley is an American fashion designer known for her playful, colorful, and adventurous ready-to-wear and accessories collections.
-
E.
Jill Stuart
Jill Stuart is an American fashion designer known for her contemporary, feminine clothing and accessories label popular on international runways.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42daca29081909837494d8d516634 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd7ef048190b0828ec6ea0e119c |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.