Triple

T9746917
Position Surface form Disambiguated ID Type / Status
Subject Émile Boutmy E236334 entity
Predicate familyName P18 FINISHED
Object Boutmy
Boutmy is a French surname most notably associated with Émile Boutmy, the founder of the Paris Institute of Political Studies (Sciences Po).
E817937 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: Boutmy | Statement: [Émile Boutmy, familyName, Boutmy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boutmy
Context triple: [Émile Boutmy, familyName, Boutmy]
  • A. Bittou
    Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
  • B. Bouderbala
    Bouderbala is a town and commune located within Bouira Province in northern Algeria.
  • C. Madouri
    Madouri is a small Ionian Sea island off the coast of Lefkada in Greece, known for its scenic beauty and association with the Greek poet Aristotelis Valaoritis.
  • D. Bchamoun
    Bchamoun is a suburban town in Lebanon known for its strategic hilltop location overlooking Beirut and its role as a residential and commercial hub in the Mount Lebanon region.
  • E. Baguia
    Baguia is a remote mountainous region and administrative post in eastern Timor-Leste known for its traditional villages and rugged landscapes.
  • 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: Boutmy
Triple: [Émile Boutmy, familyName, Boutmy]
Generated description
Boutmy is a French surname most notably associated with Émile Boutmy, the founder of the Paris Institute of Political Studies (Sciences Po).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Boutmy
Target entity description: Boutmy is a French surname most notably associated with Émile Boutmy, the founder of the Paris Institute of Political Studies (Sciences Po).
  • A. Bittou
    Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
  • B. Bouderbala
    Bouderbala is a town and commune located within Bouira Province in northern Algeria.
  • C. Madouri
    Madouri is a small Ionian Sea island off the coast of Lefkada in Greece, known for its scenic beauty and association with the Greek poet Aristotelis Valaoritis.
  • D. Bchamoun
    Bchamoun is a suburban town in Lebanon known for its strategic hilltop location overlooking Beirut and its role as a residential and commercial hub in the Mount Lebanon region.
  • E. Baguia
    Baguia is a remote mountainous region and administrative post in eastern Timor-Leste known for its traditional villages and rugged landscapes.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f677830819096d388b9c798ecd5 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b00d76488190af68cba694dc329c completed April 5, 2026, 12:42 a.m.
NEDg Description generation batch_69d1b0f7a68481909de080dd78f883a8 completed April 5, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1b17bd97c8190b77815db5a6a70d9 completed April 5, 2026, 12:49 a.m.
Created at: March 30, 2026, 8:23 p.m.