Triple
T12449344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Giamatti |
E297487
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Toni Marilyn Smith |
E312533
|
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: Toni Marilyn Smith | Statement: [Samuel Giamatti, relative, Toni Marilyn Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Marilyn Smith Context triple: [Samuel Giamatti, relative, Toni Marilyn Smith]
-
A.
Toni Marilyn Smith
chosen
Toni Marilyn Smith is the mother of American actor Paul Giamatti.
-
B.
Dawn Tinsley
Dawn Tinsley is the receptionist in the original UK version of "The Office," known for her unfulfilled artistic ambitions and complicated, slow-burning romance with Tim Canterbury.
-
C.
Toni Stevens
Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
-
D.
Toni May
Toni May is a personal name, most likely referring to an individual whose specific public identity or achievements are not widely documented.
-
E.
Darlene Gillespie
Darlene Gillespie is an American singer and former child actress best known as one of the original Mouseketeers on the 1950s television show The Mickey Mouse Club.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9e592c81908cf7f3ca170d942c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1501448190b0a95d7cd249ca9d |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.