Triple
T661080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell on Wheels |
E11755
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
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."
|
E88042
|
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 Zhou | Statement: [Hell on Wheels, starred, Angela Zhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angela Zhou Context triple: [Hell on Wheels, starred, Angela Zhou]
-
A.
Emily Ma
Emily Ma is the daughter of renowned cellist Yo-Yo Ma.
-
B.
Marina Chin
Marina Chin is a former Malaysian national hurdler and prominent sports figure who gained recognition for her achievements in athletics and her role in major national sporting events.
-
C.
Wendi Deng
Wendi Deng is a Chinese-American businesswoman and film producer best known for her high-profile marriage to media mogul Rupert Murdoch and her influential connections in global media and politics.
-
D.
Vicky Chun
Vicky Chun is a collegiate sports administrator best known for serving as the director of athletics at Yale University.
-
E.
Eileen Loo
Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
- 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 Zhou Triple: [Hell on Wheels, starred, Angela Zhou]
Generated description
Angela Zhou is a Chinese-born New Zealand actress best known for her role in the American Western television series "Hell on Wheels."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angela Zhou Target entity description: Angela Zhou is a Chinese-born New Zealand actress best known for her role in the American Western television series "Hell on Wheels."
-
A.
Emily Ma
Emily Ma is the daughter of renowned cellist Yo-Yo Ma.
-
B.
Marina Chin
Marina Chin is a former Malaysian national hurdler and prominent sports figure who gained recognition for her achievements in athletics and her role in major national sporting events.
-
C.
Wendi Deng
Wendi Deng is a Chinese-American businesswoman and film producer best known for her high-profile marriage to media mogul Rupert Murdoch and her influential connections in global media and politics.
-
D.
Vicky Chun
Vicky Chun is a collegiate sports administrator best known for serving as the director of athletics at Yale University.
-
E.
Eileen Loo
Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa954988190841740a587ace466 |
completed | March 1, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a4f8f0081909686a76b4fddda60 |
completed | March 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69a64e1541908190b9553506ef5cfdd7 |
completed | March 3, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a64e91b28481909d292ce5204a461a |
completed | March 3, 2026, 2:59 a.m. |
Created at: March 1, 2026, 7:36 p.m.