Triple
T22576014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Put It in the Air |
E544396
|
entity |
| Predicate | collaborationWith |
P398
|
FINISHED |
| Object | Beanie Sigel |
—
|
NE NERFINISHED |
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: Beanie Sigel | Statement: [Put It in the Air, collaborationWith, Beanie Sigel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beanie Sigel Context triple: [Put It in the Air, collaborationWith, Beanie Sigel]
-
A.
Beanie Sigel
chosen
Beanie Sigel is an American rapper and actor from Philadelphia known for his gritty lyricism and work with Roc-A-Fella Records.
-
B.
Nick Siegel
Nick Siegel is a musician best known as a member of the indie/emo rock band The Casket Lottery.
-
C.
Michele Little
Michele Little is an American former film and television actress known for her work in the 1980s and early 1990s.
-
D.
Josh Srebnick
Josh Srebnick is a central character in the film "While We're Young," portrayed as a middle-aged documentary filmmaker grappling with ambition, authenticity, and aging in contrast to a younger creative couple.
-
E.
John-Michael Tebelak
John-Michael Tebelak was an American playwright and director best known for conceiving and originally directing the musical "Godspell."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fecf1c8819091a05f2a1b93ca8a |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.