Triple
T21165480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicole Johnson |
E521548
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Maverick Nicolas Phelps |
—
|
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: Maverick Nicolas Phelps | Statement: [Nicole Johnson, hasChild, Maverick Nicolas Phelps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maverick Nicolas Phelps Context triple: [Nicole Johnson, hasChild, Maverick Nicolas Phelps]
-
A.
Beckett Richard Phelps
Beckett Richard Phelps is the son of American swimmer Michael Phelps and former Miss California USA Nicole Johnson.
-
B.
Noah Phelps
Noah Phelps was an American Revolutionary War officer and patriot known for his role in the capture of Fort Ticonderoga and later service as a judge and public official in Connecticut.
-
C.
Boomer Robert Phelps
chosen
Boomer Robert Phelps is the son of Olympic swimmer Michael Phelps and his wife Nicole Johnson, known publicly through his parents’ high profile in competitive swimming and media.
-
D.
James Phelps
James Phelps is an English actor best known for playing Fred Weasley in the Harry Potter film series.
-
E.
Rob Dressel
Rob Dressel is a cinematographer best known for his work on the animated film "Big Hero 6."
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7270efe3081908a50fc601c2f958c |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 2:59 p.m.