Triple
T12364234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Sick |
E294819
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Bo Burnham |
E864795
|
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: Bo Burnham | Statement: [The Big Sick, starring, Bo Burnham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bo Burnham Context triple: [The Big Sick, starring, Bo Burnham]
-
A.
Bo Burnham
chosen
Bo Burnham is an American comedian, writer, musician, and filmmaker known for his innovative stand-up specials and the critically acclaimed film "Eighth Grade."
-
B.
Kyle Mooney
Kyle Mooney is an American comedian, actor, and writer best known as a former Saturday Night Live cast member and for his offbeat, awkwardly humorous characters and sketches.
-
C.
Bill Hader
Bill Hader is an American actor, comedian, writer, and director best known for his work on Saturday Night Live and for creating and starring in the dark comedy series Barry.
-
D.
B. J. Novak
B. J. Novak is an American actor, writer, comedian, and director best known for his work on the U.S. version of "The Office."
-
E.
Hannibal Buress
Hannibal Buress is an American stand-up comedian, actor, writer, and producer known for his laid-back delivery, sharp observational humor, and roles in shows like "Broad City" and films such as "Spider-Man: Homecoming."
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa3f958819080555bcae9958a53 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abbaaec8190b388d9dff999da8d |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.