Triple

T3277067
Position Surface form Disambiguated ID Type / Status
Subject Émile E68781 entity
Predicate notableBearer P458 FINISHED
Object Émile Mbouh
Émile Mbouh is a former Cameroonian footballer best known for representing Cameroon as a midfielder in multiple FIFA World Cups.
E345388 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: Émile Mbouh | Statement: [Émile, notableBearer, Émile Mbouh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Émile Mbouh
Context triple: [Émile, notableBearer, Émile Mbouh]
  • A. Léon Mébiame
    Léon Mébiame was a Gabonese politician who served for many years as a key government leader during the long rule of President Omar Bongo.
  • B. Jean Baptiste Kouame
    Jean Baptiste Kouame is a songwriter best known for contributing to the hit single "Scream & Shout."
  • C. Julien Nkoghe Bekale
    Julien Nkoghe Bekale is a Gabonese politician who served as Prime Minister of Gabon in the late 2010s.
  • D. Emmanuel Issoze-Ngondet
    Emmanuel Issoze-Ngondet was a Gabonese politician and diplomat who served as Prime Minister and previously held several ministerial and ambassadorial posts.
  • E. Léon Mba
    Léon Mba was a Gabonese politician who became the country’s first president after leading it to independence from France.
  • 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: Émile Mbouh
Triple: [Émile, notableBearer, Émile Mbouh]
Generated description
Émile Mbouh is a former Cameroonian footballer best known for representing Cameroon as a midfielder in multiple FIFA World Cups.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Émile Mbouh
Target entity description: Émile Mbouh is a former Cameroonian footballer best known for representing Cameroon as a midfielder in multiple FIFA World Cups.
  • A. Léon Mébiame
    Léon Mébiame was a Gabonese politician who served for many years as a key government leader during the long rule of President Omar Bongo.
  • B. Jean Baptiste Kouame
    Jean Baptiste Kouame is a songwriter best known for contributing to the hit single "Scream & Shout."
  • C. Julien Nkoghe Bekale
    Julien Nkoghe Bekale is a Gabonese politician who served as Prime Minister of Gabon in the late 2010s.
  • D. Emmanuel Issoze-Ngondet
    Emmanuel Issoze-Ngondet was a Gabonese politician and diplomat who served as Prime Minister and previously held several ministerial and ambassadorial posts.
  • E. Léon Mba
    Léon Mba was a Gabonese politician who became the country’s first president after leading it to independence from France.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0128f08819084644f3c8fda2596 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e84a3c2c8190908152fc042fcad1 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e939460481909743b49e274b693e completed March 12, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecfd3c20819089bc0b2141aee8eb completed March 12, 2026, 4:42 p.m.
Created at: March 8, 2026, 3:10 p.m.