Triple
T1524750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Ma |
E32309
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Emily Ma |
E32711
|
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: Emily Ma | Statement: [Nicholas Ma, sibling, Emily Ma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Ma Context triple: [Nicholas Ma, sibling, Emily Ma]
-
A.
Emily Ma
chosen
Emily Ma is the daughter of renowned cellist Yo-Yo Ma.
-
B.
Cathy Zhang
Cathy Zhang is a Chinese entrepreneur best known as a founder of the multinational technology conglomerate Alibaba Group.
-
C.
Leah Lee
Leah Lee was the wife of French Symbolist poet Jules Laforgue, known primarily through her association with his brief, influential life and work.
-
D.
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.
-
E.
Angela Zhou
Angela Zhou is a Chinese-born New Zealand actress best known for her role in the American Western television series "Hell on Wheels."
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9080175588190bb3b1d4b17966f2f |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2951c1ec8190b7ac04cd820a2bfa |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 4, 2026, 7:26 p.m.