Triple
T20336890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Sandler |
E495634
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Jacqueline Titone |
—
|
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: Jacqueline Titone | Statement: [Jackie Sandler, birthName, Jacqueline Titone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacqueline Titone Context triple: [Jackie Sandler, birthName, Jacqueline Titone]
-
A.
Jacqueline Samantha Titone
chosen
Jacqueline Samantha Titone, better known as Jackie Sandler, is an American actress and former model who frequently appears in films produced by her husband, comedian Adam Sandler.
-
B.
Laura Terruso
Laura Terruso is an American filmmaker and screenwriter known for her work on character-driven comedies and collaborations with director Michael Showalter.
-
C.
Lisa Vultaggio
Lisa Vultaggio is a Canadian actress best known for her role as Hannah Scott on the soap opera "General Hospital."
-
D.
Jeannine Bisignano
Jeannine Bisignano is known as the former wife of American actor Michael Madsen.
-
E.
Tina Apicella
Tina Apicella is an actress best known for her role in the Italian film "Bellissima."
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ed75e081909bfc534033ac1c59 |
completed | April 20, 2026, 7:01 p.m. |
Created at: April 16, 2026, 11:23 a.m.