Triple

T11172056
Position Surface form Disambiguated ID Type / Status
Subject Shola E264297 entity
Predicate allyOf P4662 FINISHED
Object Orlando Oxford E264294 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: Orlando Oxford | Statement: [Shola, allyOf, Orlando Oxford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlando Oxford
Context triple: [Shola, allyOf, Orlando Oxford]
  • A. Orlando Oxford chosen
    Orlando Oxford is the aristocratic British protagonist of the World War I–era spy film "The King’s Man," who helps found the clandestine Kingsman intelligence agency.
  • B. Orlando East
    Orlando East is a historic township area in Soweto, Johannesburg, known as one of the city’s oldest black residential neighborhoods and a center of political and cultural life.
  • C. Ormond College
    Ormond College is a prominent residential college affiliated with the University of Melbourne, known for its academic support, community life, and historic architecture.
  • D. Longwood
    Longwood is a residential neighborhood in the South Bronx of New York City known for its dense urban character and predominantly Latino community.
  • E. Saint Leo
    Saint Leo is a revered early pope and Doctor of the Church, best known for his theological leadership and defense of Rome in the 5th century.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496d1ffa48190b29b4d4b71803564 completed April 19, 2026, 8:48 a.m.
Created at: April 8, 2026, 9:29 p.m.