Triple

T11461312
Position Surface form Disambiguated ID Type / Status
Subject Jacques Nienaber E271665 entity
Predicate familyName P18 FINISHED
Object Nienaber
Nienaber is a surname of Germanic origin most notably associated in recent times with South African rugby coach Jacques Nienaber.
 E927810 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: Nienaber | Statement: [Jacques Nienaber, familyName, Nienaber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nienaber
Context triple: [Jacques Nienaber, familyName, Nienaber]
  • A. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • B. Nietap
    Nietap is a small village in the Dutch province of Drenthe, known for its rural character and proximity to the town of Roden.
  • C. Nednai
    Nednai is an alternate name for the Nednhi Apache, a subgroup of the Chiricahua Apache people historically living in northern Mexico and the U.S. Southwest.
  • D. Nabeina
    Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • E. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • 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: Nienaber
Triple: [Jacques Nienaber, familyName, Nienaber]
Generated description
Nienaber is a surname of Germanic origin most notably associated in recent times with South African rugby coach Jacques Nienaber.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nienaber
Target entity description: Nienaber is a surname of Germanic origin most notably associated in recent times with South African rugby coach Jacques Nienaber.
  • A. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • B. Nietap
    Nietap is a small village in the Dutch province of Drenthe, known for its rural character and proximity to the town of Roden.
  • C. Nednai
    Nednai is an alternate name for the Nednhi Apache, a subgroup of the Chiricahua Apache people historically living in northern Mexico and the U.S. Southwest.
  • D. Nabeina
    Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • E. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f384f08190b1150ed1389dd31a completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e91f1bb881909a9c36d837e4059b completed April 20, 2026, 8:51 a.m.
NEDg Description generation batch_69e5f1593c2c8190885f80ad5eeba3ec completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f87bbd988190ac388a3c34b2e95a completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:35 p.m.