Triple

T20468620
Position Surface form Disambiguated ID Type / Status
Subject Ben Vereen E502121 entity
Predicate hasChild P369 FINISHED
Object Naja Vereen
Naja Vereen is a child of Tony Award–winning American actor, singer, and dancer Ben Vereen.
E1432793 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: Naja Vereen | Statement: [Ben Vereen, hasChild, Naja Vereen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naja Vereen
Context triple: [Ben Vereen, hasChild, Naja Vereen]
  • A. Otelia
    Otelia is a feminine given name of likely Latin origin, used in various cultures as a personal first name.
  • B. Muriella
    Muriella was the wife of Tancred of Hauteville, the Norman nobleman whose sons founded powerful dynasties in southern Italy and Sicily.
  • C. Hanneli
    Hanneli is the nickname of Hannah Elisabeth Goslar, a Jewish Holocaust survivor best known as a close childhood friend of Anne Frank.
  • D. Ophelia Bhuletova
    Ophelia Bhuletova is a supporting character and ally of the bumbling British spy in the "Johnny English" comedy film series.
  • E. Ermine Jung
    Ermine Jung is a relative of notorious American drug trafficker George Jung, who was a key figure in the U.S. cocaine trade in the 1970s and 1980s.
  • 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: Naja Vereen
Triple: [Ben Vereen, hasChild, Naja Vereen]
Generated description
Naja Vereen is a child of Tony Award–winning American actor, singer, and dancer Ben Vereen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naja Vereen
Target entity description: Naja Vereen is a child of Tony Award–winning American actor, singer, and dancer Ben Vereen.
  • A. Otelia
    Otelia is a feminine given name of likely Latin origin, used in various cultures as a personal first name.
  • B. Muriella
    Muriella was the wife of Tancred of Hauteville, the Norman nobleman whose sons founded powerful dynasties in southern Italy and Sicily.
  • C. Hanneli
    Hanneli is the nickname of Hannah Elisabeth Goslar, a Jewish Holocaust survivor best known as a close childhood friend of Anne Frank.
  • D. Ophelia Bhuletova
    Ophelia Bhuletova is a supporting character and ally of the bumbling British spy in the "Johnny English" comedy film series.
  • E. Ermine Jung
    Ermine Jung is a relative of notorious American drug trafficker George Jung, who was a key figure in the U.S. cocaine trade in the 1970s and 1980s.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995e71c08190911fadbc433f0f4d completed April 20, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b1a82a88190a5f531c43cdd15cb completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c9b40788190b76ef5c582996d34 completed May 16, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_6a088d186a38819085c8809560e94745 completed May 16, 2026, 3:28 p.m.
Created at: April 16, 2026, 11:33 a.m.