Triple

T15735625
Position Surface form Disambiguated ID Type / Status
Subject Gugu Mbatha-Raw E381462 entity
Predicate familyName P18 FINISHED
Object Mbatha
Mbatha is a surname of African origin, notably borne by British actress Gugu Mbatha-Raw.
 E1173493 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: Mbatha | Statement: [Gugu Mbatha-Raw, familyName, Mbatha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mbatha
Context triple: [Gugu Mbatha-Raw, familyName, Mbatha]
  • A. Mangosuthu
    Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
  • B. Maphelane
    Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
  • C. Nquthu
    Nquthu is a small town in KwaZulu-Natal, South Africa, known for its rural character and historical significance in the region.
  • D. Mdantsane
    Mdantsane is a large township in South Africa’s Eastern Cape, known as a major residential area near East London and a historic center of anti-apartheid activism and boxing talent.
  • E. Nongqawuse
    Nongqawuse was a teenage Xhosa prophet whose visions in 1856–1857 inspired the catastrophic cattle-killing movement that led to widespread famine and social upheaval among the Xhosa people.
  • 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: Mbatha
Triple: [Gugu Mbatha-Raw, familyName, Mbatha]
Generated description
Mbatha is a surname of African origin, notably borne by British actress Gugu Mbatha-Raw.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mbatha
Target entity description: Mbatha is a surname of African origin, notably borne by British actress Gugu Mbatha-Raw.
  • A. Mangosuthu
    Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
  • B. Maphelane
    Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
  • C. Nquthu
    Nquthu is a small town in KwaZulu-Natal, South Africa, known for its rural character and historical significance in the region.
  • D. Mdantsane
    Mdantsane is a large township in South Africa’s Eastern Cape, known as a major residential area near East London and a historic center of anti-apartheid activism and boxing talent.
  • E. Nongqawuse
    Nongqawuse was a teenage Xhosa prophet whose visions in 1856–1857 inspired the catastrophic cattle-killing movement that led to widespread famine and social upheaval among the Xhosa people.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd586a88190aa1b1b88368d386f completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8300a4248190ba52573b57f31b36 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff8378450081909614f68772a23851 completed May 9, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_69ff84125e808190a4d465d9effad639 completed May 9, 2026, 6:59 p.m.
Created at: April 10, 2026, 4:46 a.m.