Triple

T15978499
Position Surface form Disambiguated ID Type / Status
Subject Anyanya guerrilla movement E387510 entity
Predicate notableLeader P304 FINISHED
Object Aggrey Jaden E1188714 NE FINISHED

How this triple was built (2 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: Aggrey Jaden | Statement: [Anyanya guerrilla movement, notableLeader, Aggrey Jaden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aggrey Jaden
Context triple: [Anyanya guerrilla movement, notableLeader, Aggrey Jaden]
  • A. Aggrey Jaden chosen
    Aggrey Jaden was a prominent South Sudanese nationalist leader and early figure in the struggle for Southern Sudan’s independence.
  • B. Jaden McDaniels
    Jaden McDaniels is an American professional basketball player known for his versatile defense and forward play in the NBA.
  • C. Jaden Smith
    Jaden Smith is an American actor and musician, known for his breakout childhood role alongside his father Will Smith in films and his later work in experimental hip hop and fashion.
  • D. Jaden Piner
    Jaden Piner is an American actor best known for playing the young version of Kevin in the Academy Award–winning film "Moonlight."
  • E. Jaden Hiller
    Jaden Hiller is a child actor best known for playing Lily Tucker-Pritchett in the television sitcom "Modern Family."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575362e081909ff36e4d3c15ff2f completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1893388190800f013fab415ae7 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.