Triple
T10953330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhang Xueliang |
E258777
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Edith Chao
Edith Chao was the wife of Chinese warlord and political figure Zhang Xueliang, accompanying him through his long years of house arrest and exile.
|
E894885
|
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: Edith Chao | Statement: [Zhang Xueliang, spouse, Edith Chao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edith Chao Context triple: [Zhang Xueliang, spouse, Edith Chao]
-
A.
Michelle Yee
Michelle Yee is an American philanthropist and investor best known as the wife of LinkedIn co-founder Reid Hoffman.
-
B.
Julie Chu
Julie Chu is an American ice hockey player and four-time Olympian renowned as one of the most accomplished figures in U.S. women's hockey history.
-
C.
Fay Chang
Fay Chang is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
-
D.
Christine Chow Ma
Christine Chow Ma is a Taiwanese educator and public figure who served as First Lady of the Republic of China (Taiwan) during the presidency of her husband, Ma Ying-jeou.
-
E.
Linda Cho
Linda Cho is a Tony Award–winning costume designer known for her work on major Broadway productions and other theatrical performances.
- 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: Edith Chao Triple: [Zhang Xueliang, spouse, Edith Chao]
Generated description
Edith Chao was the wife of Chinese warlord and political figure Zhang Xueliang, accompanying him through his long years of house arrest and exile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edith Chao Target entity description: Edith Chao was the wife of Chinese warlord and political figure Zhang Xueliang, accompanying him through his long years of house arrest and exile.
-
A.
Michelle Yee
Michelle Yee is an American philanthropist and investor best known as the wife of LinkedIn co-founder Reid Hoffman.
-
B.
Julie Chu
Julie Chu is an American ice hockey player and four-time Olympian renowned as one of the most accomplished figures in U.S. women's hockey history.
-
C.
Fay Chang
Fay Chang is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
-
D.
Christine Chow Ma
Christine Chow Ma is a Taiwanese educator and public figure who served as First Lady of the Republic of China (Taiwan) during the presidency of her husband, Ma Ying-jeou.
-
E.
Linda Cho
Linda Cho is a Tony Award–winning costume designer known for her work on major Broadway productions and other theatrical performances.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fe4cfc81909032296c31e077f0 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c64089c8190a9c0aa63d7e7dc64 |
completed | April 17, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69e24543bd2c8190a3c807baa76c30f6 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e25d11ef24819091e730ae2416a058 |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:23 p.m.