Triple
T18222931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divide and Conquer |
E436349
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Divide and Conquer |
—
|
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: Divide and Conquer | Statement: [Divide and Conquer, hasTitle, Divide and Conquer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Divide and Conquer Context triple: [Divide and Conquer, hasTitle, Divide and Conquer]
-
A.
Divide and Conquer
chosen
"Divide and Conquer" is a World War II-era American propaganda documentary in the "Why We Fight" series that chronicles Nazi Germany’s invasion and subjugation of Western Europe.
-
B.
Divide
Divide is a small unincorporated community located in Nolan County, Texas.
-
C.
Meet in the Middle
"Meet in the Middle" is a 1991 country song by Diamond Rio that became their breakthrough hit and is known for its clever lyrics about compromise in relationships.
-
D.
Division
Division is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Near North Side.
-
E.
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.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47d9b348190897d5a1e70b39ec5 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.