Triple
T3858741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grown Ups |
E90082
|
entity |
| Predicate | notableEnsembleCastMember |
P7010
|
FINISHED |
| Object | Rob Schneider |
E445252
|
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: Rob Schneider | Statement: [Grown Ups, notableEnsembleCastMember, Rob Schneider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Schneider Context triple: [Grown Ups, notableEnsembleCastMember, Rob Schneider]
-
A.
Rob Schneider
chosen
Rob Schneider is an American actor and comedian known for his roles in numerous Adam Sandler films and other broad Hollywood comedies.
-
B.
Rob Corddry
Rob Corddry is an American actor and comedian best known for his work on "The Daily Show" and in films like "Hot Tub Time Machine."
-
C.
Paul Lieberstein
Paul Lieberstein is an American writer, producer, and actor best known for playing HR representative Toby Flenderson and serving as a key writer and showrunner on the U.S. version of "The Office."
-
D.
David Koechner
David Koechner is an American character actor and comedian best known for his scene-stealing roles in films like Anchorman and the TV series The Office.
-
E.
Andy Richter
Andy Richter is an American comedian and actor best known as Conan O’Brien’s longtime talk-show sidekick and for his roles in various film and television comedies.
- 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_69aef90e5f408190abf8353e153d1558 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb809c4c6c8190abeb7a5bad4fab67 |
completed | March 19, 2026, 4:50 a.m. |
Created at: March 9, 2026, 3:19 p.m.