Triple
T21272144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christy Krall |
E524288
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object |
Angela Wang
Angela Wang is an American figure skater who has competed internationally in ladies' singles.
|
E1474840
|
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: Angela Wang | Statement: [Christy Krall, notableStudent, Angela Wang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angela Wang Context triple: [Christy Krall, notableStudent, Angela Wang]
-
A.
Angela Zhou
Angela Zhou is a Chinese-born New Zealand actress best known for her role in the American Western television series "Hell on Wheels."
-
B.
Angela Li
Angela Li is the strict, authoritarian principal of Lawndale High School in the animated television series "Daria."
-
C.
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.
-
D.
Amy Chiang
Amy Chiang is a member of Taiwan’s influential Chiang family, known primarily as a daughter of former President Chiang Ching-kuo.
-
E.
Lucia Guo
Lucia Guo is a Chinese-born businesswoman best known as the wife of British Conservative politician and former Chancellor of the Exchequer Jeremy Hunt.
- 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: Angela Wang Triple: [Christy Krall, notableStudent, Angela Wang]
Generated description
Angela Wang is an American figure skater who has competed internationally in ladies' singles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angela Wang Target entity description: Angela Wang is an American figure skater who has competed internationally in ladies' singles.
-
A.
Angela Zhou
Angela Zhou is a Chinese-born New Zealand actress best known for her role in the American Western television series "Hell on Wheels."
-
B.
Angela Li
Angela Li is the strict, authoritarian principal of Lawndale High School in the animated television series "Daria."
-
C.
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.
-
D.
Amy Chiang
Amy Chiang is a member of Taiwan’s influential Chiang family, known primarily as a daughter of former President Chiang Ching-kuo.
-
E.
Lucia Guo
Lucia Guo is a Chinese-born businesswoman best known as the wife of British Conservative politician and former Chancellor of the Exchequer Jeremy Hunt.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73654ba148190a2eb0a06363cbd0b |
completed | April 21, 2026, 8:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099006e7c081908aceb2a0574de81e |
completed | May 17, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_6a0990b9b7c8819094f7db294c2e573d |
completed | May 17, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0991cdf6408190a590d8907f2fe880 |
completed | May 17, 2026, 10 a.m. |
Created at: April 16, 2026, 4:01 p.m.