Triple
T19080776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle Cry |
E467025
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Battle Cry (novel) |
—
|
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: Battle Cry (novel) | Statement: [Battle Cry, basedOn, Battle Cry (novel)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Battle Cry (novel) Context triple: [Battle Cry, basedOn, Battle Cry (novel)]
-
A.
Battle Cry
chosen
Battle Cry is a 1955 American World War II drama film directed by Raoul Walsh, adapted from Leon Uris’s novel about a group of young U.S. Marines.
-
B.
Battle Cry
"Battle Cry" is a hard-hitting hip-hop track by Joell Ortiz known for its aggressive lyricism and intricate wordplay.
-
C.
The Crimson Field
The Crimson Field is a British period drama television series set during World War I that follows the lives of nurses and soldiers in a field hospital in France.
-
D.
Cruel War
"Cruel War" is a traditional folk song popularized in the 1960s folk revival, notably covered by artists such as Peter, Paul and Mary.
-
E.
The Spirit of War
The Spirit of War is a 19th-century painting by American landscape artist Jasper Francis Cropsey that allegorically depicts the destructive forces and atmosphere of war.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e8f8148190942cca6dd3e30caf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.