Triple
T3558102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horrible Bosses 2 |
E75269
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jay Stern |
E188866
|
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: Jay Stern | Statement: [Horrible Bosses 2, producer, Jay Stern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Stern Context triple: [Horrible Bosses 2, producer, Jay Stern]
-
A.
Jay Stern
chosen
Jay Stern is a film producer best known for his work on mainstream Hollywood comedies, including the hit movie "Horrible Bosses."
-
B.
Blake Stein
Blake Stein is a former Major League Baseball pitcher who played primarily for the Kansas City Royals in the late 1990s and early 2000s.
-
C.
Eli Sternberg
Eli Sternberg was a prominent engineer and applied mathematician known for his influential contributions to the theory of elasticity and solid mechanics.
-
D.
Scott Bernstein
Scott Bernstein is a film producer known for working on major Hollywood projects, including the Aretha Franklin biopic "Respect" (2021).
-
E.
Josh Goldstein
Josh Goldstein is a screenwriter best known for co-writing the story for Disney’s adventure film "Jungle Cruise."
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc086e6688190b90ae356e18b953e |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b2bcadc819093b827a28e3e8930 |
completed | March 14, 2026, 2:05 p.m. |
Created at: March 8, 2026, 3:20 p.m.