Triple
T15556182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah Lee Ritter |
E370874
|
entity |
| Predicate | hasHalfSibling |
P54212
|
FINISHED |
| Object | Carly Ritter |
—
|
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: Carly Ritter | Statement: [Noah Lee Ritter, hasHalfSibling, Carly Ritter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carly Ritter Context triple: [Noah Lee Ritter, hasHalfSibling, Carly Ritter]
-
A.
Carly Ritter
chosen
Carly Ritter is an American singer-songwriter and actress, and the daughter of late actor John Ritter.
-
B.
Erin Buescher
Erin Buescher is a former professional basketball player best known as a standout WNBA forward and top reserve during the mid-2000s.
-
C.
Katie Carr
Katie Carr is the conflicted, self-critical doctor and wife who narrates Nick Hornby’s novel "How to Be Good," exploring themes of morality, marriage, and modern middle-class guilt.
-
D.
Kaitlyn Robrock
Kaitlyn Robrock is an American voice actress best known for portraying iconic animated characters, including serving as the current voice of Minnie Mouse for Disney.
-
E.
Carly Bowman
Carly Bowman is a recurring character in the TV series "Sneaky Pete," closely connected to Pete Murphy’s cons and personal life.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a97dbfc8190a98cbbac5e71ba88 |
completed | April 16, 2026, 2:34 a.m. |
Created at: April 10, 2026, 4:09 a.m.