Triple
T1752831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yo-Yo Ma |
E38484
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Marina Lu |
E38484
|
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: Marina Lu | Statement: [Yo-Yo Ma, mother, Marina Lu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marina Lu Context triple: [Yo-Yo Ma, mother, Marina Lu]
-
A.
Marina Lu
chosen
Marina Lu is the mother of renowned cellist Yo-Yo Ma.
-
B.
Marina Chin
Marina Chin is a former Malaysian national hurdler and prominent sports figure who gained recognition for her achievements in athletics and her role in major national sporting events.
-
C.
Mariana Keil
Mariana Keil is known primarily as a daughter of the Portuguese composer and painter Alfredo Keil, who wrote the music for Portugal’s national anthem.
-
D.
Marina Oswald
Marina Oswald is the Russian-born widow of Lee Harvey Oswald, the accused assassin of U.S. President John F. Kennedy, who became a notable figure in the aftermath of the 1963 assassination.
-
E.
Marina Wheeler
Marina Wheeler is a British barrister and writer, known for her work in public law and for her former marriage to politician Boris Johnson.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa641432d88190ab4254cb4c3ad402 |
completed | March 6, 2026, 5:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0e625c48190a0fbda31010bdc5f |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:31 p.m.