Triple
T23253127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shyamala Gopalan |
E581788
|
entity |
| Predicate | motherOf |
P120
|
FINISHED |
| Object | Maya Harris |
—
|
NE NERFINISHED |
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: Maya Harris | Statement: [Shyamala Gopalan, motherOf, Maya Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maya Harris Context triple: [Shyamala Gopalan, motherOf, Maya Harris]
-
A.
Maya Harris
chosen
Maya Harris is an American lawyer, public policy advocate, and political strategist who has served as a senior advisor on major Democratic campaigns and in civil rights organizations.
-
B.
Tyasha Harris
Tyasha Harris is an American professional basketball player and standout point guard who starred for the University of South Carolina Gamecocks women’s basketball program.
-
C.
Courtney Harrell
Courtney Harrell is an American songwriter and producer known for her work with major pop and R&B artists.
-
D.
Jhaniele Fowler
Jhaniele Fowler is an elite Jamaican netball goal shooter renowned for her dominant scoring ability in international competitions and professional leagues.
-
E.
Mia Braswell
Mia Braswell is an actress known for playing a young version of Rebecca Pearson on the television series "This Is Us."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f840dc819098e52272abefe616 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:11 p.m.