Triple

T392306
Position Surface form Disambiguated ID Type / Status
Subject Ernest O. Lawrence E8906 entity
Predicate givenName P17 FINISHED
Object Ernest
Ernest is a masculine given name of Germanic origin meaning "serious" or "resolute," borne by numerous notable figures across history and culture.
E49898 NE FINISHED

How this triple was built (4 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: Ernest | Statement: [Ernest O. Lawrence, givenName, Ernest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernest
Context triple: [Ernest O. Lawrence, givenName, Ernest]
  • A. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • B. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • C. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • D. Kipps
    Kipps is a 1905 social novel by H. G. Wells that follows the rise of a humble draper’s apprentice after an unexpected inheritance, exploring class mobility and Edwardian society.
  • E. Herman
    Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ernest
Triple: [Ernest O. Lawrence, givenName, Ernest]
Generated description
Ernest is a masculine given name of Germanic origin meaning "serious" or "resolute," borne by numerous notable figures across history and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ernest
Target entity description: Ernest is a masculine given name of Germanic origin meaning "serious" or "resolute," borne by numerous notable figures across history and culture.
  • A. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • B. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • C. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • D. Kipps
    Kipps is a 1905 social novel by H. G. Wells that follows the rise of a humble draper’s apprentice after an unexpected inheritance, exploring class mobility and Edwardian society.
  • E. Herman
    Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
  • F. None of above. chosen

Provenance (5 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec7492288190bf33c9c869a0710f completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a405f74cd08190a2e165506638607c completed March 1, 2026, 9:25 a.m.
NEDg Description generation batch_69a406a17fdc8190a067217b806fbc57 completed March 1, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_69a4070050dc81909fdfbcfce23e428e completed March 1, 2026, 9:29 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.