Triple

T3039106
Position Surface form Disambiguated ID Type / Status
Subject Sir Bernard Lovell E83081 entity
Predicate givenName P17 FINISHED
Object Charles E13673 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: Charles | Statement: [Sir Bernard Lovell, givenName, Charles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles
Context triple: [Sir Bernard Lovell, givenName, Charles]
  • A. Charles chosen
    Charles is a masculine given name of Germanic origin that has been widely used across Europe and the English-speaking world, borne by numerous historical figures, royalty, and notable individuals.
  • B. Edward
    Edward is a masculine given name of English origin, historically associated with kings of England and notable figures such as U.S. Senator Edward M. Kennedy.
  • C. George
    George is the first name of George Washington, the first President of the United States and a key leader in the American Revolutionary War.
  • D. George
    George is the heroic protagonist of the fantasy film "The Magic Sword," known for embarking on a perilous quest to rescue a princess from an evil sorcerer.
  • E. George
    George is one of the central child detectives in Enid Blyton’s classic Secret Seven mystery series.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b2fa52c8190a7860f762d5232ab completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367d6290081908f67eac0b7f6c53c completed March 13, 2026, 1:26 a.m.
Created at: March 8, 2026, 3:01 p.m.