Triple
T249790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yo-Yo Ma |
E5117
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Nicholas Ma
Nicholas Ma is a filmmaker and producer known for his work on documentaries and for being the son of renowned cellist Yo-Yo Ma.
|
E32309
|
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: Nicholas Ma | Statement: [Yo-Yo Ma, hasChild, Nicholas Ma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Ma Context triple: [Yo-Yo Ma, hasChild, Nicholas Ma]
-
A.
Jared C. Nicholson
Jared C. Nicholson is an American politician and attorney who serves as the mayor of Lynn, Massachusetts.
-
B.
Nelson Chai
Nelson Chai is a business executive and former Chief Financial Officer of Uber Technologies, known for his leadership roles in major financial and technology companies.
-
C.
Greg Yang
Greg Yang is a mathematician and AI researcher known for his work on the theoretical foundations of deep learning and his role at xAI.
-
D.
Tony Wu
Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
-
E.
Langche Zeng
Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
- 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: Nicholas Ma Triple: [Yo-Yo Ma, hasChild, Nicholas Ma]
Generated description
Nicholas Ma is a filmmaker and producer known for his work on documentaries and for being the son of renowned cellist Yo-Yo Ma.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicholas Ma Target entity description: Nicholas Ma is a filmmaker and producer known for his work on documentaries and for being the son of renowned cellist Yo-Yo Ma.
-
A.
Jared C. Nicholson
Jared C. Nicholson is an American politician and attorney who serves as the mayor of Lynn, Massachusetts.
-
B.
Nelson Chai
Nelson Chai is a business executive and former Chief Financial Officer of Uber Technologies, known for his leadership roles in major financial and technology companies.
-
C.
Greg Yang
Greg Yang is a mathematician and AI researcher known for his work on the theoretical foundations of deep learning and his role at xAI.
-
D.
Tony Wu
Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
-
E.
Langche Zeng
Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d3728f0819086214ccc2db2305a |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a37373426881909ce8766ad9c5778c |
completed | Feb. 28, 2026, 11 p.m. |
| NEDg | Description generation | batch_69a373dfb6c0819092ebfe465b7be3c9 |
completed | Feb. 28, 2026, 11:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3748a9ea4819080b2cea1f1b4afbc |
completed | Feb. 28, 2026, 11:04 p.m. |
Created at: Feb. 28, 2026, 2:54 a.m.