Triple
T9909283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Ruick |
E185095
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Lurene Tuttle |
E631523
|
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: Lurene Tuttle | Statement: [Barbara Ruick, notableRelative, Lurene Tuttle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lurene Tuttle Context triple: [Barbara Ruick, notableRelative, Lurene Tuttle]
-
A.
Lurene Tuttle
chosen
Lurene Tuttle was an American character actress known for her prolific work in radio, film, and television from the 1930s through the 1970s.
-
B.
Verna Felton
Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
-
C.
Marilee Earle
Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
-
D.
Betty McGlown
Betty McGlown was an original member of the vocal group that would later become the legendary Motown act The Supremes.
-
E.
Loretta Rogers
Loretta Rogers is a Canadian philanthropist and longtime director of Rogers Communications, known as the widow of company founder Ted Rogers.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb51184d08190a0350f2722110811 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50983ce848190ab375145019ff69b |
completed | April 19, 2026, 4:57 p.m. |
Created at: March 30, 2026, 8:41 p.m.