Triple
T6954256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neighbors |
E161202
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Seth Rogen |
E90874
|
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: Seth Rogen | Statement: [Neighbors, starring, Seth Rogen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seth Rogen Context triple: [Neighbors, starring, Seth Rogen]
-
A.
Seth Rogen
chosen
Seth Rogen is a Canadian actor, comedian, writer, producer, and director known for his distinctive laugh and roles in numerous hit comedy films such as "Superbad," "Pineapple Express," and "Knocked Up."
-
B.
Jason Segel
Jason Segel is an American actor, comedian, screenwriter, and producer best known for his roles in the sitcom "How I Met Your Mother" and films like "Forgetting Sarah Marshall."
-
C.
Seth Green
Seth Green is an American actor, comedian, and producer best known for his voice work on "Family Guy" and for creating and starring in the stop-motion series "Robot Chicken."
-
D.
Jonah Hill
Jonah Hill is an American actor, comedian, and filmmaker known for his roles in films such as Superbad, Moneyball, and The Wolf of Wall Street.
-
E.
Evan Goldberg
Evan Goldberg is a technology entrepreneur best known for founding the cloud-based business software company NetSuite.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad70f09881909f1a03f295486942 |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:29 p.m.