Triple
T16164255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Millais |
E392260
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cross of Iron |
E500509
|
NE FINISHED |
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: Cross of Iron | Statement: [Hugh Millais, notableWork, Cross of Iron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cross of Iron Context triple: [Hugh Millais, notableWork, Cross of Iron]
-
A.
Cross of Iron
chosen
Cross of Iron is a 1977 war film depicting the brutal experiences of German soldiers on the Eastern Front during World War II.
-
B.
The Iron Marshal
The Iron Marshal was the nickname of Louis-Nicolas Davout, one of Napoleon Bonaparte’s most capable and disciplined marshals, renowned for his strict leadership and undefeated battlefield record.
-
C.
Storm of Steel
Storm of Steel is a renowned World War I memoir by Ernst Jünger that vividly recounts his harrowing experiences as a German soldier on the Western Front.
-
D.
Army of Shadows
Army of Shadows is a 1969 French resistance drama film directed by Jean-Pierre Melville, acclaimed for its stark, realistic portrayal of the French Resistance during World War II.
-
E.
A Study of War
A Study of War is Quincy Wright’s landmark scholarly work that systematically analyzes the causes, nature, and prevention of war using historical, legal, and statistical methods.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e622ae481909f3cf25b38886d3a |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b69adc8190ba90d68acaaca509 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.