Triple

T16448107
Position Surface form Disambiguated ID Type / Status
Subject Bamba Müller E399483 entity
Predicate givenName P17 FINISHED
Object Bamba
Bamba is a given name most notably borne by Bamba Müller, the Egyptian wife of Maharaja Duleep Singh of the Sikh Empire.
E1213184 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: Bamba | Statement: [Bamba Müller, givenName, Bamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bamba
Context triple: [Bamba Müller, givenName, Bamba]
  • A. Bumba
    Bumba is a Romanian professional footballer known for playing as an attacking midfielder and winger for various clubs in Europe.
  • B. Bumba Da
    Bumba Da is the popular nickname of Prosenjit Chatterjee, a leading Bengali film actor and one of the most influential stars in contemporary Bengali cinema.
  • C. Bimoba
    Bimoba are an ethnic group primarily inhabiting parts of northern Ghana and neighboring areas of Togo, known for their distinct language and cultural traditions.
  • D. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • E. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • 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: Bamba
Triple: [Bamba Müller, givenName, Bamba]
Generated description
Bamba is a given name most notably borne by Bamba Müller, the Egyptian wife of Maharaja Duleep Singh of the Sikh Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bamba
Target entity description: Bamba is a given name most notably borne by Bamba Müller, the Egyptian wife of Maharaja Duleep Singh of the Sikh Empire.
  • A. Bumba
    Bumba is a Romanian professional footballer known for playing as an attacking midfielder and winger for various clubs in Europe.
  • B. Bumba Da
    Bumba Da is the popular nickname of Prosenjit Chatterjee, a leading Bengali film actor and one of the most influential stars in contemporary Bengali cinema.
  • C. Bimoba
    Bimoba are an ethnic group primarily inhabiting parts of northern Ghana and neighboring areas of Togo, known for their distinct language and cultural traditions.
  • D. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • E. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cddfc3c8190919b49f74b7e8e1a completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004594a4508190be08f3acfff36ab0 completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a0046833e208190a0e1e37fc24c09e0 completed May 10, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_6a00471604f88190b7cc58a77b861585 completed May 10, 2026, 8:51 a.m.
Created at: April 10, 2026, 5:10 a.m.