Triple
T11528170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Lee |
E273351
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Grace Ho
Grace Ho was the mother of martial arts icon Bruce Lee and a member of a prominent Hong Kong family of Eurasian heritage.
|
E931913
|
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: Grace Ho | Statement: [Bruce Lee, mother, Grace Ho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grace Ho Context triple: [Bruce Lee, mother, Grace Ho]
-
A.
Alice Tan
Alice Tan is one of the namesakes of the College of Alice and Peter Tan at the National University of Singapore, recognized for her contributions alongside Peter Tan.
-
B.
Hilary Tsui
Hilary Tsui is a Hong Kong actress, fashion icon, and designer best known for her work in film and her influential street-style presence in the local fashion scene.
-
C.
Michelle Wong
Michelle Wong is an actress known for her voice role in the animated feature film "Abominable."
-
D.
Rachel Fong
Rachel Fong is a researcher in machine learning and reinforcement learning, known for her work on the Hindsight Experience Replay technique.
-
E.
Karen Kwan
Karen Kwan is an American figure skater and the older sister of Olympic medalist Michelle Kwan.
- 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: Grace Ho Triple: [Bruce Lee, mother, Grace Ho]
Generated description
Grace Ho was the mother of martial arts icon Bruce Lee and a member of a prominent Hong Kong family of Eurasian heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grace Ho Target entity description: Grace Ho was the mother of martial arts icon Bruce Lee and a member of a prominent Hong Kong family of Eurasian heritage.
-
A.
Alice Tan
Alice Tan is one of the namesakes of the College of Alice and Peter Tan at the National University of Singapore, recognized for her contributions alongside Peter Tan.
-
B.
Hilary Tsui
Hilary Tsui is a Hong Kong actress, fashion icon, and designer best known for her work in film and her influential street-style presence in the local fashion scene.
-
C.
Michelle Wong
Michelle Wong is an actress known for her voice role in the animated feature film "Abominable."
-
D.
Rachel Fong
Rachel Fong is a researcher in machine learning and reinforcement learning, known for her work on the Hindsight Experience Replay technique.
-
E.
Karen Kwan
Karen Kwan is an American figure skater and the older sister of Olympic medalist Michelle Kwan.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d883972b10819093bd09cf8406671c |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6855270b08190bdb175a8dede176e |
completed | April 20, 2026, 7:58 p.m. |
| NEDg | Description generation | batch_69e68fd6b6088190b24f552b5afc3f55 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6b7a31b4081909b06bc9b6d0a1617 |
completed | April 20, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:37 p.m.