Triple

T3715012
Position Surface form Disambiguated ID Type / Status
Subject de Lannoy E81506 entity
Predicate hasAnglicizedForm P3437 FINISHED
Object Delano E123 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: Delano | Statement: [de Lannoy, hasAnglicizedForm, Delano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delano
Context triple: [de Lannoy, hasAnglicizedForm, Delano]
  • A. Delano
    Delano is a small agricultural city in California’s Central Valley known for its table grape production and historic role in the farm labor movement.
  • B. Delano chosen
    Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
  • C. Davenport
    Davenport is an English surname of Norman origin that has been borne by various notable figures in mathematics, politics, and the arts.
  • D. Granite City
    Granite City is a common nickname for Aberdeen, a Scottish port city famed for its extensive use of locally quarried grey granite in its architecture.
  • E. Colfax
    Colfax is a surname most notably associated with Schuyler Colfax, the 17th vice president of the United States under Ulysses S. Grant.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9ce253c8190ada8eaa395fd3d5c completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db0985fc819082ca97445b1b234e completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:33 p.m.