Triple

T21236090
Position Surface form Disambiguated ID Type / Status
Subject George Drouillard E523346 entity
Predicate givenName P17 FINISHED
Object George
George is the given name of George Drouillard, a noted hunter, interpreter, and key member of the Lewis and Clark Expedition.
E1472999 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: George | Statement: [George Drouillard, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George
Context triple: [George Drouillard, givenName, George]
  • A. George
    George is the given first name of the fictional character Gob Bluth from the television series "Arrested Development."
  • B. George
    George is the middle name of William George Barker, a renowned Canadian World War I flying ace and Victoria Cross recipient.
  • C. George
    George is the given name of George Stanley, 9th Baron Strange, an English nobleman and politician of the late 15th century.
  • D. George
    George is the given name of George Carnegie, 6th Earl of Northesk, a Scottish nobleman and naval officer in the Royal Navy.
  • E. George
    George is the given name of Lord George Murray, a prominent Scottish Jacobite general during the 18th-century uprisings.
  • 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: George
Triple: [George Drouillard, givenName, George]
Generated description
George is the given name of George Drouillard, a noted hunter, interpreter, and key member of the Lewis and Clark Expedition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George
Target entity description: George is the given name of George Drouillard, a noted hunter, interpreter, and key member of the Lewis and Clark Expedition.
  • A. George
    George is the given name of George Rogers Clark Todd, a 19th-century American physician and Confederate surgeon during the Civil War.
  • B. George
    George is the given name of George Armstrong Custer, the controversial U.S. Army officer and cavalry commander best known for his defeat and death at the Battle of the Little Bighorn.
  • C. George
    George is the given name of Sir George Grey, a prominent 19th-century British colonial governor and statesman.
  • D. George
    George is the given name of George Washington Crile, an influential American surgeon and co-founder of the Cleveland Clinic.
  • E. George
    George is the given first name of American film actor Randolph Scott, known for his roles in classic Western movies.
  • 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735202c7481909c642ddaafb40671 completed April 21, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986ddf7c4819082c3fc3c7d47993a completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a09883271c08190aaf046130c9b2698 completed May 17, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0988a7c9b081909688dba71dbce654 completed May 17, 2026, 9:21 a.m.
Created at: April 16, 2026, 3:46 p.m.