Triple

T21803846
Position Surface form Disambiguated ID Type / Status
Subject Raymond Zondo E538300 entity
Predicate givenName P17 FINISHED
Object Raymond
Raymond Zondo is a South African jurist who served as Chief Justice and is widely known for chairing the commission of inquiry into state capture.
E1502140 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: Raymond | Statement: [Raymond Zondo, givenName, Raymond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond
Context triple: [Raymond Zondo, givenName, Raymond]
  • A. Raymond
    Raymond is the furry blue sea-dog mascot of Major League Baseball’s Tampa Bay Rays, known for his playful antics at the team’s home games.
  • B. Raymond
    Raymond is a central character in the Gothic novel "The Monk," known for his romantic entanglements and morally complex actions that drive much of the plot.
  • C. Raymond
    Raymond is the surname of American R&B singer, songwriter, and performer Usher, whose full name is Usher Raymond IV.
  • D. Raymond
    Raymond is a small town in southern Alberta, Canada, known for its agricultural community and early Latter-day Saint settlement history.
  • E. Raymond
    Raymond is a character connected to the violent criminal world surrounding Frank Booth in David Lynch’s film "Blue Velvet."
  • 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: Raymond
Triple: [Raymond Zondo, givenName, Raymond]
Generated description
Raymond Zondo is a South African jurist who served as Chief Justice and is widely known for chairing the commission of inquiry into state capture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Raymond
Target entity description: Raymond Zondo is a South African jurist who served as Chief Justice and is widely known for chairing the commission of inquiry into state capture.
  • A. Raymond
    Raymond is the middle name of U.S. Senator Joseph McCarthy, the prominent figure behind the anti-communist "McCarthyism" movement in the 1950s.
  • B. Raymond
    Raymond is the given name of French naval officer and explorer Bruni d’Entrecasteaux, known for leading late 18th-century Pacific expeditions.
  • C. Raymond
    Raymond is a character connected to the violent criminal world surrounding Frank Booth in David Lynch’s film "Blue Velvet."
  • D. Raymond
    Raymond is a surname most notably associated with Eric S. Raymond, an American software developer, open-source advocate, and author of "The Cathedral and the Bazaar."
  • E. Raymond
    Raymond is the volatile, abusive patriarch at the center of the British drama film "Nil by Mouth," whose destructive behavior drives the movie’s portrayal of family dysfunction and addiction.
  • 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0780126e88190a93dd8d0519eb8fc completed April 28, 2026, 9:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e84e9008190beac0f734864fc21 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f4358d48190a88208a55d19a9ef completed May 17, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0a404206e0819080c640619cd277ab completed May 17, 2026, 10:25 p.m.
Created at: April 16, 2026, 6:53 p.m.