Triple

T9011194
Position Surface form Disambiguated ID Type / Status
Subject Paul Doumer E215475 entity
Predicate child P120 FINISHED
Object Albert Doumer
Albert Doumer was one of the children of French statesman and future President Paul Doumer.
E772707 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: Albert Doumer | Statement: [Paul Doumer, child, Albert Doumer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Doumer
Context triple: [Paul Doumer, child, Albert Doumer]
  • A. Louis Boisrond-Tonnerre
    Louis Boisrond-Tonnerre was a Haitian writer, lawyer, and revolutionary best known for drafting the text of Haiti’s 1804 Declaration of Independence.
  • B. Antoine Joseph Santerre
    Antoine Joseph Santerre was a prominent French revolutionary leader and brewer who played a key role in Parisian insurrections during the French Revolution.
  • C. Charles L’Eplattenier
    Charles L’Eplattenier was a Swiss painter, decorative artist, and influential art teacher whose nature-inspired style helped shape the early artistic development of architect Le Corbusier.
  • D. Michael Fournier
    Michael Fournier is an American local politician who serves as the mayor of Royal Oak, Michigan.
  • E. Armand Duval
    Armand Duval is the romantic male lead of Alexandre Dumas fils’ novel and play "La Dame aux Camélias," widely known through numerous stage and film adaptations.
  • 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: Albert Doumer
Triple: [Paul Doumer, child, Albert Doumer]
Generated description
Albert Doumer was one of the children of French statesman and future President Paul Doumer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Albert Doumer
Target entity description: Albert Doumer was one of the children of French statesman and future President Paul Doumer.
  • A. Louis Boisrond-Tonnerre
    Louis Boisrond-Tonnerre was a Haitian writer, lawyer, and revolutionary best known for drafting the text of Haiti’s 1804 Declaration of Independence.
  • B. Antoine Joseph Santerre
    Antoine Joseph Santerre was a prominent French revolutionary leader and brewer who played a key role in Parisian insurrections during the French Revolution.
  • C. Charles L’Eplattenier
    Charles L’Eplattenier was a Swiss painter, decorative artist, and influential art teacher whose nature-inspired style helped shape the early artistic development of architect Le Corbusier.
  • D. Michael Fournier
    Michael Fournier is an American local politician who serves as the mayor of Royal Oak, Michigan.
  • E. Armand Duval
    Armand Duval is the romantic male lead of Alexandre Dumas fils’ novel and play "La Dame aux Camélias," widely known through numerous stage and film adaptations.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c1571881908d0b144786b5ee1f completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9dca848190952427bb5712081f completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdc5b230881908057cc868e44ea44 completed April 3, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69cfdcfc28288190b849b3f0216a7e9a completed April 3, 2026, 3:30 p.m.
Created at: March 30, 2026, 7:06 p.m.