Triple
T17024388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumble in the Bronx |
E413025
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Françoise Yip
Françoise Yip is a Canadian actress best known for her role alongside Jackie Chan in the action film "Rumble in the Bronx."
|
E1247764
|
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: Françoise Yip | Statement: [Rumble in the Bronx, starring, Françoise Yip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Françoise Yip Context triple: [Rumble in the Bronx, starring, Françoise Yip]
-
A.
Eileen Loo
Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
-
B.
Yvonne Chu
Yvonne Chu is the wife of Nobel Prize–winning physicist and former U.S. Secretary of Energy Steven Chu.
-
C.
Rosalie Chiang
Rosalie Chiang is an American actress best known for voicing the main character, Meilin "Mei" Lee, in Pixar's animated film "Turning Red."
-
D.
Brigitte Lin
Brigitte Lin is a celebrated Taiwanese actress best known internationally for her iconic roles in 1980s–1990s Hong Kong cinema, including acclaimed collaborations with auteur directors such as Wong Kar-wai.
-
E.
Fay Chang
Fay Chang is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
- 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: Françoise Yip Triple: [Rumble in the Bronx, starring, Françoise Yip]
Generated description
Françoise Yip is a Canadian actress best known for her role alongside Jackie Chan in the action film "Rumble in the Bronx."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Françoise Yip Target entity description: Françoise Yip is a Canadian actress best known for her role alongside Jackie Chan in the action film "Rumble in the Bronx."
-
A.
Eileen Loo
Eileen Loo was the wife of renowned Chinese-American architect I. M. Pei and a supportive partner throughout his celebrated career.
-
B.
Yvonne Chu
Yvonne Chu is the wife of Nobel Prize–winning physicist and former U.S. Secretary of Energy Steven Chu.
-
C.
Rosalie Chiang
Rosalie Chiang is an American actress best known for voicing the main character, Meilin "Mei" Lee, in Pixar's animated film "Turning Red."
-
D.
Brigitte Lin
Brigitte Lin is a celebrated Taiwanese actress best known internationally for her iconic roles in 1980s–1990s Hong Kong cinema, including acclaimed collaborations with auteur directors such as Wong Kar-wai.
-
E.
Fay Chang
Fay Chang is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
- 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_69e3d5d371148190a60d32a72abec09a |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012334c3b48190b125ab926450c45b |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a0125420bd08190b969849a206a67d1 |
completed | May 11, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0125c7c4f48190b570dabd341b1ef1 |
completed | May 11, 2026, 12:41 a.m. |
Created at: April 10, 2026, 5:33 a.m.