Triple
T21103711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partition (poem) |
E519980
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Partition |
—
|
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: Partition | Statement: [Partition (poem), title, Partition]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Partition Context triple: [Partition (poem), title, Partition]
-
A.
Partition
"Partition" is a 2013 Beyoncé song from her self-titled visual album, known for its sensual lyrics, bass-heavy production, and provocative music video.
-
B.
Partition
Partition is a 2007 historical drama film set during the 1947 partition of India, focusing on the tragic human consequences of the subcontinent’s division.
-
C.
Partition
chosen
"Partition" is a poem by W. H. Auden that reflects on themes of division, separation, and the human consequences of political boundaries.
-
D.
Partitions
"Partitions" is a modernist musical composition by American composer and theorist Milton Babbitt, exemplifying his pioneering use of serial and mathematical techniques in contemporary classical music.
-
E.
Division
Division is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Near North Side.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b6050e481908a5e48b667ac1503 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:53 p.m.