Triple
T7631048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heaven & Earth |
E172758
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Joan Chen |
E539300
|
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: Joan Chen | Statement: [Heaven & Earth, starring, Joan Chen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Chen Context triple: [Heaven & Earth, starring, Joan Chen]
-
A.
Joan Chen
chosen
Joan Chen is a Chinese-American actress and director known for her roles in films like "The Last Emperor" and the TV series "Twin Peaks."
-
B.
Gong Li
Gong Li is a renowned Chinese actress acclaimed for her powerful performances in films by directors such as Zhang Yimou and Chen Kaige, and for helping bring Chinese cinema to international prominence.
-
C.
Nancy Kwan
Nancy Kwan is a pioneering Hong Kong–born actress who became an international star in the 1960s and a trailblazer for Asian representation in Hollywood and global cinema.
-
D.
Lai-Sang Young
Lai-Sang Young is a prominent mathematician known for her influential work in dynamical systems and ergodic theory.
-
E.
Rita Hsiao
Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa85c57c8190acfd33e0c890c2f9 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870b3984c8190b16a49415556a27d |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:56 p.m.