Triple

T12110909
Position Surface form Disambiguated ID Type / Status
Subject Tajudeen Abbas E288425 entity
Predicate givenName P17 FINISHED
Object Tajudeen
Tajudeen is a Nigerian politician and academic who serves as the Speaker of the House of Representatives of Nigeria.
 E966136 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: Tajudeen | Statement: [Tajudeen Abbas, givenName, Tajudeen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tajudeen
Context triple: [Tajudeen Abbas, givenName, Tajudeen]
  • A. Kamarudeen
    Kamarudeen is the given first name of Kamaru Usman, a Nigerian-American mixed martial artist and former UFC welterweight champion.
  • B. Abubakar
    Abubakar is the given name of Abubakar Tafawa Balewa, Nigeria’s first Prime Minister and a prominent statesman in the country’s early post-independence history.
  • C. Tahsin
    Tahsin is a masculine given name of Turkish and Arabic origin, commonly used in Turkey and other Muslim-majority countries.
  • D. Tahir
    Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • E. Nasir
    Nasir is a creative work associated with Wyoming Sessions, likely a music release or recording project.
  • 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: Tajudeen
Triple: [Tajudeen Abbas, givenName, Tajudeen]
Generated description
Tajudeen is a Nigerian politician and academic who serves as the Speaker of the House of Representatives of Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tajudeen
Target entity description: Tajudeen is a Nigerian politician and academic who serves as the Speaker of the House of Representatives of Nigeria.
  • A. Kamarudeen
    Kamarudeen is the given first name of Kamaru Usman, a Nigerian-American mixed martial artist and former UFC welterweight champion.
  • B. Abubakar
    Abubakar is the given name of Abubakar Tafawa Balewa, Nigeria’s first Prime Minister and a prominent statesman in the country’s early post-independence history.
  • C. Tahsin
    Tahsin is a masculine given name of Turkish and Arabic origin, commonly used in Turkey and other Muslim-majority countries.
  • D. Tahir
    Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • E. Nasir
    Nasir is a creative work associated with Wyoming Sessions, likely a music release or recording project.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156709288190b4684cb19037dc38 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67d58d08190be45fb49f0084b49 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b6769481909d0308c8f77b2ef3 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601ef0a9c8190ac922562a8856def completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:49 p.m.