Triple
T3858482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadie Sandler |
E90077
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Sunny Sandler |
E166060
|
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: Sunny Sandler | Statement: [Sadie Sandler, sibling, Sunny Sandler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunny Sandler Context triple: [Sadie Sandler, sibling, Sunny Sandler]
-
A.
Sunny Sandler
chosen
Sunny Sandler is an American child actress and the daughter of comedian and actor Adam Sandler, known for appearing in several of his films.
-
B.
Arye Gross
Arye Gross is an American actor known for his work in film, television, and theater, including roles in projects like the film "For the Boys" and the TV series "Ellen."
-
C.
Jackie Sandler
Jackie Sandler is an American actress and former model who frequently appears in films produced by her husband, comedian and actor Adam Sandler.
-
D.
Jay Rabinowitz
Jay Rabinowitz is a film editor known for his work on numerous feature films, including the science-fiction thriller "The Adjustment Bureau."
-
E.
Yoni Brenner
Yoni Brenner is a screenwriter and humorist known for his work on animated films, including contributing to the screenplay of "Rio 2."
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1e68f88190941c39221486f6ae |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51231608c8190bbc5dc990fba1606 |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.