Triple
T17025389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Battlefield |
E413051
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Stephanie Che
Stephanie Che is a Hong Kong actress and singer known for her roles in television dramas and films.
|
E1246401
|
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: Stephanie Che | Statement: [Love Battlefield, starring, Stephanie Che]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephanie Che Context triple: [Love Battlefield, starring, Stephanie Che]
-
A.
Stephanie Nguyen
Stephanie Nguyen is a dancer and actress known for her role in the international street dance film "StreetDance 2."
-
B.
Christina Chang
Christina Chang is a Taiwanese-American actress best known for her role as Dr. Audrey Lim on the medical drama series "The Good Doctor."
-
C.
Christine Ko
Christine Ko is a Taiwanese-American actress known for her roles in television series such as Dave, The Great Indoors, and Upload.
-
D.
Stella Yu
Stella Yu is a computer vision and machine learning researcher known for her work in perceptual organization, image segmentation, and computational models of visual perception.
-
E.
Melissa Chiu
Melissa Chiu is an Australian-born art historian and curator known for her leadership roles in major contemporary art institutions, including directing the Hirshhorn Museum and Sculpture Garden in Washington, D.C.
- 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: Stephanie Che Triple: [Love Battlefield, starring, Stephanie Che]
Generated description
Stephanie Che is a Hong Kong actress and singer known for her roles in television dramas and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephanie Che Target entity description: Stephanie Che is a Hong Kong actress and singer known for her roles in television dramas and films.
-
A.
Stephanie Nguyen
Stephanie Nguyen is a dancer and actress known for her role in the international street dance film "StreetDance 2."
-
B.
Christina Chang
Christina Chang is a Taiwanese-American actress best known for her role as Dr. Audrey Lim on the medical drama series "The Good Doctor."
-
C.
Christine Ko
Christine Ko is a Taiwanese-American actress known for her roles in television series such as Dave, The Great Indoors, and Upload.
-
D.
Stella Yu
Stella Yu is a computer vision and machine learning researcher known for her work in perceptual organization, image segmentation, and computational models of visual perception.
-
E.
Melissa Chiu
Melissa Chiu is an Australian-born art historian and curator known for her leadership roles in major contemporary art institutions, including directing the Hirshhorn Museum and Sculpture Garden in Washington, D.C.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d46a5081908bc5681621dd8534 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b53306081908972a0a5db474b6c |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011cfb74b88190bbd5af862727790f |
completed | May 11, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011dad838c8190a1ea560680c9ca57 |
completed | May 11, 2026, 12:07 a.m. |
Created at: April 10, 2026, 5:33 a.m.