Triple
T13608204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Levitan |
E325119
|
entity |
| Predicate | creatorOf |
P806
|
FINISHED |
| Object | Just Shoot Me! |
E368103
|
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: Just Shoot Me! | Statement: [Steven Levitan, creatorOf, Just Shoot Me!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Just Shoot Me! Context triple: [Steven Levitan, creatorOf, Just Shoot Me!]
-
A.
Just Shoot Me!
chosen
Just Shoot Me! is an American television sitcom that follows the quirky staff of a New York fashion magazine, blending workplace comedy with character-driven humor.
-
B.
You Kill Me
You Kill Me is a 2007 dark comedy crime film about an alcoholic hitman trying to reform his life, directed by John Dahl and starring Ben Kingsley and Téa Leoni.
-
C.
Takin’ Shots
"Takin’ Shots" is a track by American rapper and singer Post Malone from his hit 2018 studio album "Beerbongs & Bentleys."
-
D.
Party Shot
"Party Shot" is a popular dancehall track by Jamaican artist Popcaan, known for its energetic celebration of party culture and widespread club and street anthem status.
-
E.
Showing Out
"Showing Out" is a track by hip-hop duo Clipse from their 2009 studio album "Til the Casket Drops."
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07f462c8190b5b5e115d550037f |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f98286c8190a866b5edc21f1225 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.