Triple
T3798673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grown Ups 2 |
E91634
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Maya Rudolph |
E210988
|
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: Maya Rudolph | Statement: [Grown Ups 2, starring, Maya Rudolph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maya Rudolph Context triple: [Grown Ups 2, starring, Maya Rudolph]
-
A.
Maya Rudolph
chosen
Maya Rudolph is an American actress and comedian known for her work on "Saturday Night Live" and in numerous film and animated voice roles.
-
B.
Amy Poehler
Amy Poehler is an American comedian, actress, writer, and producer best known for her work on "Saturday Night Live" and for starring as Leslie Knope on the sitcom "Parks and Recreation."
-
C.
Kristen Wiig
Kristen Wiig is an American comedian, actress, and writer best known for her work on Saturday Night Live and films such as Bridesmaids.
-
D.
Tina Fey
Tina Fey is an American comedian, writer, actress, and producer best known for her work on "Saturday Night Live" and creating the acclaimed sitcom "30 Rock."
-
E.
Kristen Schaal
Kristen Schaal is an American actress, comedian, and voice artist known for her distinctive voice and roles in series like "Flight of the Conchords," "Bob's Burgers," and "The Last Man on Earth."
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7a270908190ac30537a22f3d500 |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d03dbd348190aaaa58a352982248 |
completed | March 14, 2026, 9:16 p.m. |
Created at: March 9, 2026, 3:15 p.m.