Triple

T5742715
Position Surface form Disambiguated ID Type / Status
Subject Édgar Ramírez E126653 entity
Predicate givenName P17 FINISHED
Object Édgar E39303 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: Édgar | Statement: [Édgar Ramírez, givenName, Édgar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Édgar
Context triple: [Édgar Ramírez, givenName, Édgar]
  • A. Edgar
    Edgar was an English royal figure of the late 10th century, notable as the son of King Æthelred the Unready.
  • B. Edgar chosen
    Edgar is the first name of Edgar Allan Poe, the influential 19th-century American writer known for his macabre poetry and pioneering detective fiction.
  • C. Edgar Wesley
    Edgar Wesley was an American Negro league first baseman known for his powerful hitting during the 1920s, particularly with the Detroit Stars.
  • D. Elias Kane
    Elias Kane was an early 19th-century American politician and lawyer who served as Illinois’ first secretary of state and later as a U.S. senator.
  • E. Treves
    Treves, better known as Trier, is a historic German city on the Moselle River renowned for its well-preserved Roman monuments and status as one of Germany’s oldest cities.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025852a2c819080521e5b98c00bdc completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e2196e08190a38e1c6871e71acd completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.