Triple
T15400855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy Fay |
E368309
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Tom Ritter |
E1168107
|
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: Tom Ritter | Statement: [Dorothy Fay, child, Tom Ritter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Ritter Context triple: [Dorothy Fay, child, Tom Ritter]
-
A.
Tom Ritter
chosen
Tom Ritter is the son of famed American country singer and actor Tex Ritter.
-
B.
Tyler Ritter
Tyler Ritter is an American actor known for his roles in television series such as "The McCarthys" and "Arrow."
-
C.
Jason Ritter
Jason Ritter is an American actor known for his work in film and television, including roles in series like "Parenthood" and "Joan of Arcadia."
-
D.
Scott Oake
Scott Oake is a Canadian sportscaster best known for his long-running work as a rinkside reporter and host on national hockey broadcasts.
-
E.
John Carroll Lynch
John Carroll Lynch is an American character actor known for his versatile roles in film and television, including notable performances in works like "Fargo," "Zodiac," and "American Horror Story."
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff677ef27c81909fd160205b71ca55 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 3:19 a.m.