Triple

T9887263
Position Surface form Disambiguated ID Type / Status
Subject William Howard, 1st Baron Howard of Effingham E180965 entity
Predicate spouse P13 FINISHED
Object Margaret Gamage E284909 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: Margaret Gamage | Statement: [William Howard, 1st Baron Howard of Effingham, spouse, Margaret Gamage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margaret Gamage
Context triple: [William Howard, 1st Baron Howard of Effingham, spouse, Margaret Gamage]
  • A. Margaret Gamage chosen
    Margaret Gamage was a 16th-century Welsh noblewoman of the Gamage family who became Countess of Nottingham through her marriage into the English Howard dynasty.
  • B. Margaret Whitton
    Margaret Whitton was an American actress and director best known for her comedic film roles in the 1980s and 1990s, particularly in sports comedies.
  • C. Margaret Hughes
    Margaret Hughes is a historical figure best known as one of the first professional English actresses to perform on the public stage in the 17th century.
  • D. Margaret Johnston
    Margaret Johnston was a British actress known for her work on stage and in films during the mid-20th century.
  • E. Margaret Watson
    Margaret Watson is a fictional character portrayed by American actress and consumer advocate Betty Furness.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb457c8cc81909d211d5882228076 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6527343048190b3bb13b33c32fbf7 completed April 8, 2026, 1:04 p.m.
Created at: March 30, 2026, 8:39 p.m.