Triple

T22095193
Position Surface form Disambiguated ID Type / Status
Subject Antoine–Guillaume Depardieu E546006 entity
Predicate notableWork P4 FINISHED
Object De la guerre
De la guerre is a military treatise by Antoine–Guillaume Depardieu that analyzes the principles and conduct of war.
E1518972 NE FINISHED

How this triple was built (4 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: De la guerre | Statement: [Antoine–Guillaume Depardieu, notableWork, De la guerre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De la guerre
Context triple: [Antoine–Guillaume Depardieu, notableWork, De la guerre]
  • A. La Guerre
    La Guerre is the first part of Leo Tolstoy’s epic novel "War and Peace," focusing on the experiences and upheavals brought by war.
  • B. La Bataille
    "La Bataille" is a French-language pop-rock song by Vanessa Paradis from her 2007 album "Divinidylle."
  • C. Der Krieg
    Der Krieg is a 1923 triptych painting by German artist Otto Dix that starkly depicts the horrors and devastation of World War I.
  • D. Après la bataille
    "Après la bataille" is a famous poem by Victor Hugo that vividly recounts an episode of mercy and moral courage set during the Napoleonic wars.
  • E. Drôle de guerre
    Drôle de guerre is the term for the early phase of World War II on the Western Front marked by little active fighting despite the formal state of war between the Allies and Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: De la guerre
Triple: [Antoine–Guillaume Depardieu, notableWork, De la guerre]
Generated description
De la guerre is a military treatise by Antoine–Guillaume Depardieu that analyzes the principles and conduct of war.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: De la guerre
Target entity description: De la guerre is a military treatise by Antoine–Guillaume Depardieu that analyzes the principles and conduct of war.
  • A. La Guerre
    La Guerre is the first part of Leo Tolstoy’s epic novel "War and Peace," focusing on the experiences and upheavals brought by war.
  • B. La Bataille
    "La Bataille" is a French-language pop-rock song by Vanessa Paradis from her 2007 album "Divinidylle."
  • C. Der Krieg
    Der Krieg is a 1923 triptych painting by German artist Otto Dix that starkly depicts the horrors and devastation of World War I.
  • D. Après la bataille
    "Après la bataille" is a famous poem by Victor Hugo that vividly recounts an episode of mercy and moral courage set during the Napoleonic wars.
  • E. Drôle de guerre
    Drôle de guerre is the term for the early phase of World War II on the Western Front marked by little active fighting despite the formal state of war between the Allies and Germany.
  • F. None of above. chosen

Provenance (5 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e82c1481908701f255b834f192 completed April 28, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a879f826881909cdad0edc6bde08d completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a884eb8248190b98b260d3d277d92 completed May 18, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0a8901941c8190945a96d7f5578362 completed May 18, 2026, 3:35 a.m.
Created at: April 16, 2026, 8:29 p.m.