Triple

T19213663
Position Surface form Disambiguated ID Type / Status
Subject Robert Opron E480421 entity
Predicate familyName P18 FINISHED
Object Opron
Opron is the surname of Robert Opron, a renowned French automotive designer known for his influential work at Citroën and Renault.
 E1363842 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: Opron | Statement: [Robert Opron, familyName, Opron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Opron
Context triple: [Robert Opron, familyName, Opron]
  • A. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • B. Gouzon
    Gouzon is a small commune in central France’s Creuse department, known for its rural character and traditional Limousin countryside.
  • C. Nouel
    Nouel is a track from Laura Marling’s 2017 folk album "Semper Femina," noted for its introspective lyrics and delicate acoustic arrangement.
  • D. Bihorel
    Bihorel is a suburban commune in northern France, located near Rouen and integrated into its public transport network.
  • E. Rocoux
    Rocoux is a district of the city of Liège in eastern Belgium, known historically as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
  • 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: Opron
Triple: [Robert Opron, familyName, Opron]
Generated description
Opron is the surname of Robert Opron, a renowned French automotive designer known for his influential work at Citroën and Renault.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Opron
Target entity description: Opron is the surname of Robert Opron, a renowned French automotive designer known for his influential work at Citroën and Renault.
  • A. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • B. Gouzon
    Gouzon is a small commune in central France’s Creuse department, known for its rural character and traditional Limousin countryside.
  • C. Nouel
    Nouel is a track from Laura Marling’s 2017 folk album "Semper Femina," noted for its introspective lyrics and delicate acoustic arrangement.
  • D. Bihorel
    Bihorel is a suburban commune in northern France, located near Rouen and integrated into its public transport network.
  • E. Rocoux
    Rocoux is a district of the city of Liège in eastern Belgium, known historically as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa38c0e881908e9501ee21d0f266 completed April 20, 2026, 10:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0700e6af48819092d63922162e3a7b completed May 15, 2026, 11:17 a.m.
NEDg Description generation batch_6a070159193081908144fd444eb981e4 completed May 15, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0701b8fadc81909cd1afae9f2c9746 completed May 15, 2026, 11:21 a.m.
Created at: April 10, 2026, 1:22 p.m.