Triple
T18954061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky Ladder: The Art of Cai Guo-Qiang |
E463726
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jean Tsien
Jean Tsien is a renowned documentary film editor and producer known for her work on acclaimed nonfiction films, including "Sky Ladder: The Art of Cai Guo-Qiang."
|
E1351083
|
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: Jean Tsien | Statement: [Sky Ladder: The Art of Cai Guo-Qiang, producer, Jean Tsien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Tsien Context triple: [Sky Ladder: The Art of Cai Guo-Qiang, producer, Jean Tsien]
-
A.
Wei-ming Tu
Wei-ming Tu is a prominent Chinese philosopher and scholar of Confucianism known for his influential work on New Confucian thought and comparative philosophy.
-
B.
Pao-Chi Chang
Pao-Chi Chang is a cinematographer best known for his work on the action-comedy film "Shanghai Noon."
-
C.
Kuo-Chen Huang
Kuo-Chen Huang was a physicist whose work on electron–phonon coupling in solids led to the formulation of the Huang–Rhys factor in solid-state spectroscopy.
-
D.
Chi-lung Shih
Chi-lung Shih is the Wade–Giles romanization of Keelung City, a major port city in northern Taiwan.
-
E.
Mung Chiang
Mung Chiang is an engineer and academic leader known for his work in electrical and computer engineering and for serving as president of Purdue University.
- 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: Jean Tsien Triple: [Sky Ladder: The Art of Cai Guo-Qiang, producer, Jean Tsien]
Generated description
Jean Tsien is a renowned documentary film editor and producer known for her work on acclaimed nonfiction films, including "Sky Ladder: The Art of Cai Guo-Qiang."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean Tsien Target entity description: Jean Tsien is a renowned documentary film editor and producer known for her work on acclaimed nonfiction films, including "Sky Ladder: The Art of Cai Guo-Qiang."
-
A.
Wei-ming Tu
Wei-ming Tu is a prominent Chinese philosopher and scholar of Confucianism known for his influential work on New Confucian thought and comparative philosophy.
-
B.
Pao-Chi Chang
Pao-Chi Chang is a cinematographer best known for his work on the action-comedy film "Shanghai Noon."
-
C.
Kuo-Chen Huang
Kuo-Chen Huang was a physicist whose work on electron–phonon coupling in solids led to the formulation of the Huang–Rhys factor in solid-state spectroscopy.
-
D.
Chi-lung Shih
Chi-lung Shih is the Wade–Giles romanization of Keelung City, a major port city in northern Taiwan.
-
E.
Mung Chiang
Mung Chiang is an engineer and academic leader known for his work in electrical and computer engineering and for serving as president of Purdue University.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d545f47881909110e6a92e86b384 |
completed | April 20, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fd2cd4081909f9fa013bb8f2aec |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a161c8e88190a6f9c9abe3314487 |
completed | May 14, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a1cb500481908608daee7537dd0c |
completed | May 14, 2026, 10:19 a.m. |
Created at: April 10, 2026, noon