Triple

T23167972
Position Surface form Disambiguated ID Type / Status
Subject John Garang E578763 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Garang, the prominent Sudanese revolutionary leader and founder of the Sudan People's Liberation Movement/Army.
E1578766 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: John | Statement: [John Garang, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Garang, givenName, John]
  • A. John
    John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
  • B. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • C. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • D. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • E. John
    John is the given name of John Williams Walker, an early 19th-century American politician and U.S. Senator from Alabama.
  • 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: John
Triple: [John Garang, givenName, John]
Generated description
John is the given name of John Garang, the prominent Sudanese revolutionary leader and founder of the Sudan People's Liberation Movement/Army.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Garang, the prominent Sudanese revolutionary leader and founder of the Sudan People's Liberation Movement/Army.
  • A. John
    John is the given name of John Okello, a revolutionary leader known for his role in the 1964 Zanzibar Revolution.
  • B. John
    John is the given name of J.B. Marks, a prominent South African communist leader and anti-apartheid activist.
  • C. John
    John is the given name of John L. Lewis, the influential American labor leader who headed the United Mine Workers of America and helped shape the modern labor movement.
  • D. John
    John is the given name of John Slidell, a 19th-century American politician and diplomat involved in key events leading up to the U.S. Civil War.
  • E. John
    John is the given name of John Henry Kagi, an American abolitionist who served as a key lieutenant to John Brown during the raid on Harpers Ferry.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f2d51288190af0d5747090d8e5d completed April 29, 2026, 4:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f3f013081908f2bb0f7780339c5 completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4028b44c8190bde6e2c76b5f1587 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4367753c8190a4f6dbf2afd12b76 completed May 19, 2026, 11:03 a.m.
Created at: April 17, 2026, 4:03 p.m.