Triple

T2013461
Position Surface form Disambiguated ID Type / Status
Subject Académie Julian E43739 entity
Predicate student P7251 FINISHED
Object Henri Zuber
Henri Zuber was a 19th-century French painter and watercolorist known for his landscapes and Orientalist scenes.
E343346 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: Henri Zuber | Statement: [Académie Julian, student, Henri Zuber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henri Zuber
Context triple: [Académie Julian, student, Henri Zuber]
  • A. Henri Meilhac
    Henri Meilhac was a 19th-century French dramatist and librettist best known for his collaborations with Ludovic Halévy on operas by composers such as Georges Bizet and Jacques Offenbach.
  • B. Henri Contet
    Henri Contet was a French lyricist known for writing songs for prominent chanson artists in the mid-20th century.
  • C. Georges André
    Georges André was a French athlete best known for taking the Olympic Oath at the 1924 Summer Olympics in Paris.
  • D. Georges Récipon
    Georges Récipon was a French sculptor best known for his ornate allegorical sculptures and monumental works in Paris during the late 19th and early 20th centuries.
  • E. Pierre Montet
    Pierre Montet was a French Egyptologist renowned for his excavations and discoveries in ancient Egyptian sites, particularly royal tombs.
  • 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: Henri Zuber
Triple: [Académie Julian, student, Henri Zuber]
Generated description
Henri Zuber was a 19th-century French painter and watercolorist known for his landscapes and Orientalist scenes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henri Zuber
Target entity description: Henri Zuber was a 19th-century French painter and watercolorist known for his landscapes and Orientalist scenes.
  • A. Henri Meilhac
    Henri Meilhac was a 19th-century French dramatist and librettist best known for his collaborations with Ludovic Halévy on operas by composers such as Georges Bizet and Jacques Offenbach.
  • B. Henri Contet
    Henri Contet was a French lyricist known for writing songs for prominent chanson artists in the mid-20th century.
  • C. Georges André
    Georges André was a French athlete best known for taking the Olympic Oath at the 1924 Summer Olympics in Paris.
  • D. Georges Récipon
    Georges Récipon was a French sculptor best known for his ornate allegorical sculptures and monumental works in Paris during the late 19th and early 20th centuries.
  • E. Pierre Montet
    Pierre Montet was a French Egyptologist renowned for his excavations and discoveries in ancient Egyptian sites, particularly royal tombs.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b42d508190bf2b63132bb2ad77 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2e7fbc76c8190a66110203d53f055 completed March 12, 2026, 4:21 p.m.
NEDg Description generation batch_69b2e8a5f70c8190a8739c7adb900461 completed March 12, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_69b2e916b5708190b5cba6fa7b434dcb completed March 12, 2026, 4:25 p.m.
Created at: March 4, 2026, 7:37 p.m.