Triple

T14767297
Position Surface form Disambiguated ID Type / Status
Subject Ade E347028 entity
Predicate hasGivenName P17 FINISHED
Object Ade E347028 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: Ade | Statement: [Ade, hasGivenName, Ade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ade
Context triple: [Ade, hasGivenName, Ade]
  • A. Ade chosen
    Ade is a British actor best known for his role as Tyrone in the 2000 crime film "Snatch."
  • B. AdE
    AdE is the commonly used abbreviation for the Italian Revenue Agency, the government body responsible for tax collection and enforcement in Italy.
  • C. AdE
    AdE is the abbreviation for the Akademio de Esperanto, the language-regulating body that oversees the evolution and norms of Esperanto.
  • D. Adel
    Adel is a small city in southern Georgia that serves as the county seat of Cook County and a local hub along major regional transportation routes.
  • E. Adel
    Adel is a small city in central Iowa known as the county seat of Dallas County and for its historic downtown and community events.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81236f081908063bb4350b7b985 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cf68d94819093567bc630f67b60 completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:30 a.m.