Triple

T14935126
Position Surface form Disambiguated ID Type / Status
Subject Jean-Antoine Houdon E372369 entity
Predicate familyName P18 FINISHED
Object Houdon E372369 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: Houdon | Statement: [Jean-Antoine Houdon, familyName, Houdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houdon
Context triple: [Jean-Antoine Houdon, familyName, Houdon]
  • A. Houdon chosen
    Houdon is a French surname most famously associated with Jean-Antoine Houdon, an 18th-century sculptor renowned for his realistic portraits of Enlightenment figures.
  • B. Franklin
    Franklin is a wealthy, hospitable landowner and one of the storytellers in Geoffrey Chaucer’s The Canterbury Tales, known for his focus on gentility and marital harmony.
  • C. Franklin
    Franklin McCain was an American civil rights activist best known as one of the Greensboro Four who led the 1960 Woolworth’s lunch counter sit-in in North Carolina.
  • D. Franklin
    Franklin is the middle name of William Franklin Graham Jr., better known as the American evangelist Billy Graham.
  • E. Franklin
    Franklin is a town in Norfolk County, Massachusetts, serving as a terminus for the MBTA Commuter Rail system.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded647ae388190a0e97c03f2a4d832 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8c8d188190b027f14256b0ce01 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:37 a.m.