Triple
T22300303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carson Wayne Newton |
E551235
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Lauren Ashley Newton |
—
|
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: Lauren Ashley Newton | Statement: [Carson Wayne Newton, hasChild, Lauren Ashley Newton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Ashley Newton Context triple: [Carson Wayne Newton, hasChild, Lauren Ashley Newton]
-
A.
Lauren Ashley Newton
chosen
Lauren Ashley Newton is the daughter of American entertainer Wayne Newton, often nicknamed "Mr. Las Vegas."
-
B.
Lauren Reynolds
Lauren Reynolds is a central character in the 2013 indie drama film "Breathe In," portrayed as a young woman whose arrival disrupts the emotional equilibrium of a suburban family.
-
C.
Lauren Reynolds
Lauren Reynolds is a character in the romantic comedy film "Blended," which stars Adam Sandler and Drew Barrymore.
-
D.
Lauren Lloyd
Lauren Lloyd is a film producer best known for her work on the 1990 coming-of-age drama "Mermaids."
-
E.
Lauren Alexandra
Lauren Alexandra is an actress best known for her role in the 2015 film "The Shelter."
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1572399148190853c4e91fcf9f38c |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.