Triple
T9844891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breakthrough Prize Foundation |
E239315
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Cathy Zhang |
E239314
|
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: Cathy Zhang | Statement: [Breakthrough Prize Foundation, foundedBy, Cathy Zhang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cathy Zhang Context triple: [Breakthrough Prize Foundation, foundedBy, Cathy Zhang]
-
A.
Cathy Zhang
Cathy Zhang is a Chinese entrepreneur best known as a founder of the multinational technology conglomerate Alibaba Group.
-
B.
Cathy Zhang
chosen
Cathy Zhang is a founder associated with the prestigious Breakthrough Prize in Life Sciences, an award recognizing major advances in biological and medical research.
-
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.
Caroline Zhang
Caroline Zhang is an American figure skater known for her lyrical style, strong spins, and success on the international junior circuit in the late 2000s.
-
E.
Cathy Shim
Cathy Shim is an American actress, comedian, and writer known for her work in sketch comedy and television, including appearances on shows like Reno 911!.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb35dc29c819080203be5b904dc9d |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5dda4b0819092703270e87bee5a |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:33 p.m.