Triple

T9344307
Position Surface form Disambiguated ID Type / Status
Subject Oskar Trouessart E224844 entity
Predicate familyName P18 FINISHED
Object Trouessart
Trouessart is a French surname most notably borne by zoologist Oskar Trouessart, known for his work in mammalogy and taxonomy.
 E794610 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: Trouessart | Statement: [Oskar Trouessart, familyName, Trouessart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trouessart
Context triple: [Oskar Trouessart, familyName, Trouessart]
  • A. Tergnier
    Tergnier is a commune in northern France known historically as a significant railway junction and industrial town in the Aisne department.
  • B. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • C. Trogneux
    Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
  • D. Maransart
    Maransart is a village in Walloon Brabant, Belgium, that forms one of the districts of the municipality of Lasne.
  • E. Cesqeaux
    Cesqeaux is a Dutch DJ and electronic music producer known for his energetic trap and bass-heavy festival tracks.
  • 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: Trouessart
Triple: [Oskar Trouessart, familyName, Trouessart]
Generated description
Trouessart is a French surname most notably borne by zoologist Oskar Trouessart, known for his work in mammalogy and taxonomy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trouessart
Target entity description: Trouessart is a French surname most notably borne by zoologist Oskar Trouessart, known for his work in mammalogy and taxonomy.
  • A. Tergnier
    Tergnier is a commune in northern France known historically as a significant railway junction and industrial town in the Aisne department.
  • B. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • C. Trogneux
    Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
  • D. Maransart
    Maransart is a village in Walloon Brabant, Belgium, that forms one of the districts of the municipality of Lasne.
  • E. Cesqeaux
    Cesqeaux is a Dutch DJ and electronic music producer known for his energetic trap and bass-heavy festival tracks.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bb244e88190b269e0bc997f066a completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3c197208190bde7850de266fdf0 completed April 4, 2026, 11:19 a.m.
NEDg Description generation batch_69d0f62b28c08190aeb383e699af6e6c completed April 4, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69d0f695bd6881908fde5dab24c224b4 completed April 4, 2026, 11:31 a.m.
Created at: March 30, 2026, 7:40 p.m.