Triple

T28802186
Position Surface form Disambiguated ID Type / Status
Subject Charles Pasqua E727266 entity
Predicate honor P11 FINISHED
Object Commander of the National Order of Merit
The Commander of the National Order of Merit is one of the highest ranks within France’s National Order of Merit, awarded to individuals for distinguished civil or military achievements.
E1833024 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: Commander of the National Order of Merit | Statement: [Charles Pasqua, honor, Commander of the National Order of Merit]
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: Commander of the National Order of Merit
Triple: [Charles Pasqua, honor, Commander of the National Order of Merit]
Generated description
The Commander of the National Order of Merit is one of the highest ranks within France’s National Order of Merit, awarded to individuals for distinguished civil or military achievements.

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_69f0319b7c44819085736bcc256185e6 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f658ab67888190af811176679f6714 completed May 2, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a27bc5748190ab76be2f66d8faa7 completed June 6, 2026, 10:43 p.m.
NEDg Description generation batch_6a24a703ae6c8190b6298c1283e7c9b7 completed June 6, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_6a24ab4ed6088190a8de9ed2255599ea completed June 6, 2026, 11:20 p.m.
Created at: April 28, 2026, 6:27 a.m.