Triple
T21680685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QDIII |
E535099
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Beef II |
—
|
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: Beef II | Statement: [QDIII, notableWork, Beef II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beef II Context triple: [QDIII, notableWork, Beef II]
-
A.
Beef II
chosen
Beef II is a documentary film that explores high-profile feuds and rivalries within the hip-hop music industry.
-
B.
Beef III
Beef III is a documentary film that chronicles and analyzes high-profile feuds and conflicts within the hip-hop community.
-
C.
Big Beef
"Big Beef" is a track by the American rock band Escapology, known for its energetic style and guitar-driven sound.
-
D.
The Beef Carcass
The Beef Carcass is a vivid, expressionistic painting by Chaim Soutine, renowned for its dramatic depiction of a hanging animal carcass that explores themes of mortality and raw physicality.
-
E.
Got Beef
"Got Beef" is a hip hop track by Tha Eastsidaz that showcases the group's West Coast gangsta rap style and street-focused lyricism.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a12adf08190b9b450eb26a1f33c |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:43 p.m.