Triple

T20539834
Position Surface form Disambiguated ID Type / Status
Subject Abd Rabbuh Mansur Hadi E504297 entity
Predicate givenName P17 FINISHED
Object Abd Rabbuh
Abd Rabbuh is the given name of Abd Rabbuh Mansur Hadi, the Yemeni politician and former president of Yemen.
E1437187 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: Abd Rabbuh | Statement: [Abd Rabbuh Mansur Hadi, givenName, Abd Rabbuh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abd Rabbuh
Context triple: [Abd Rabbuh Mansur Hadi, givenName, Abd Rabbuh]
  • A. Khalid Abdalla
    Khalid Abdalla is a British-Egyptian actor and activist best known for his roles in films such as "United 93," "The Kite Runner," and "Green Zone."
  • B. Mohammed Amer
    Mohammed Amer is a Palestinian-American stand-up comedian and actor best known for his role on the TV series "Ramy" and his Netflix comedy specials.
  • C. Abdalla Khalil
    Abdalla Khalil was a Sudanese politician who served as Prime Minister of Sudan in the late 1950s.
  • D. Tarik Saleh
    Tarik Saleh is a Swedish film director and screenwriter known for politically charged thrillers such as "The Nile Hilton Incident" and "Boy from Heaven."
  • E. Ahmad Ashmawy Mulloy
    Ahmad Ashmawy Mulloy is a fictional terrorist character who serves as the primary antagonist in the satirical animated series "South Park."
  • 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: Abd Rabbuh
Triple: [Abd Rabbuh Mansur Hadi, givenName, Abd Rabbuh]
Generated description
Abd Rabbuh is the given name of Abd Rabbuh Mansur Hadi, the Yemeni politician and former president of Yemen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Abd Rabbuh
Target entity description: Abd Rabbuh is the given name of Abd Rabbuh Mansur Hadi, the Yemeni politician and former president of Yemen.
  • A. Khalid Abdalla
    Khalid Abdalla is a British-Egyptian actor and activist best known for his roles in films such as "United 93," "The Kite Runner," and "Green Zone."
  • B. Mohammed Amer
    Mohammed Amer is a Palestinian-American stand-up comedian and actor best known for his role on the TV series "Ramy" and his Netflix comedy specials.
  • C. Abdalla Khalil
    Abdalla Khalil was a Sudanese politician who served as Prime Minister of Sudan in the late 1950s.
  • D. Tarik Saleh
    Tarik Saleh is a Swedish film director and screenwriter known for politically charged thrillers such as "The Nile Hilton Incident" and "Boy from Heaven."
  • E. Ahmad Ashmawy Mulloy
    Ahmad Ashmawy Mulloy is a fictional terrorist character who serves as the primary antagonist in the satirical animated series "South Park."
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a290bd8c819091988f511fb5820b completed April 20, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a567f39c819098b75ea029b3f740 completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a66836d88190a63b42663455e491 completed May 16, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_6a08a6e4bd1c8190969cf969812a2e56 completed May 16, 2026, 5:18 p.m.
Created at: April 16, 2026, 11:37 a.m.