Triple
T8119223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Black |
E189562
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Georgina Marquez Kelly |
E189562
|
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: Georgina Marquez Kelly | Statement: [Rebecca Black, mother, Georgina Marquez Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgina Marquez Kelly Context triple: [Rebecca Black, mother, Georgina Marquez Kelly]
-
A.
Georgina Marquez Kelly
chosen
Georgina Marquez Kelly is best known as the mother of American singer and internet personality Rebecca Black.
-
B.
Lisa Simone Kelly
Lisa Simone Kelly is an American singer, actress, and producer, best known as the daughter and artistic heir of legendary musician Nina Simone.
-
C.
Maisha Kelly
Maisha Kelly is a collegiate sports administrator who serves as the athletic director for Drexel University's Drexel Dragons athletic program.
-
D.
Carol Kelly
Carol Kelly is an American actress best known for her role in the 1958 Western film "Terror in a Texas Town."
-
E.
Nathalie Kelley
Nathalie Kelley is a Peruvian-Australian actress best known for her breakout role in the film "The Fast and the Furious: Tokyo Drift" and for appearances in various television series.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4358e1688190940b98114225113b |
completed | March 31, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc944d009c81908ceb37b6922efb59 |
completed | April 1, 2026, 3:43 a.m. |
Created at: March 30, 2026, 5:33 p.m.