Triple
T6179340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenstone Museum |
E137899
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Emily Wei Rales |
E134994
|
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: Emily Wei Rales | Statement: [Glenstone Museum, foundedBy, Emily Wei Rales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Wei Rales Context triple: [Glenstone Museum, foundedBy, Emily Wei Rales]
-
A.
Emily Wei Rales
chosen
Emily Wei Rales is an American art curator and collector, best known as the co-founder and director of Glenstone, a contemporary art museum in Potomac, Maryland.
-
B.
Rachel Fong
Rachel Fong is a researcher in machine learning and reinforcement learning, known for her work on the Hindsight Experience Replay technique.
-
C.
Eugenia Yuan
Eugenia Yuan is a Hong Kong–born American actress and former rhythmic gymnast known for her roles in international martial arts and drama films.
-
D.
Lori Huang
Lori Huang is the wife of NVIDIA co-founder and CEO Jensen Huang and is known for her low public profile despite her connection to the prominent tech executive.
-
E.
Rosalie Chiang
Rosalie Chiang is an American actress best known for voicing the main character, Meilin "Mei" Lee, in Pixar's animated film "Turning Red."
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dcb77948190b5385438f81bf0a8 |
completed | March 22, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141bf3f4081909849e38d322da251 |
completed | March 23, 2026, 1:35 p.m. |
Created at: March 22, 2026, 4:18 p.m.