Triple

T19903803
Position Surface form Disambiguated ID Type / Status
Subject George Spratt E478358 entity
Predicate givenName P17 FINISHED
Object George
George is a common masculine given name of Greek origin, widely used in English-speaking countries and associated with numerous historical and cultural figures.
E372348 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 Spratt, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George
Context triple: [George Spratt, givenName, George]
  • A. George
    George is the given name of the Hero of Manila Bay, most famously associated with U.S. Admiral George Dewey, who led the decisive naval victory at the Battle of Manila Bay during the Spanish–American War.
  • B. George
    George is the given name of George Goring, Lord Goring, a prominent Royalist commander during the English Civil War.
  • C. George
    George is the given name of Lord Goring, a witty and fashionable character in Oscar Wilde’s play "An Ideal Husband."
  • D. George
    George is the given name of George Grosz, a prominent German artist known for his biting caricatures and critical depictions of Weimar-era society.
  • E. George
    George is the given name of George Hastings, 1st Earl of Huntingdon of the second creation, an English nobleman of the Tudor period.
  • 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 Spratt, givenName, George]
Generated description
George is a common masculine given name of Greek origin, widely used in English-speaking countries and associated with numerous historical and cultural figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George
Target entity description: George is a common masculine given name of Greek origin, widely used in English-speaking countries and associated with numerous historical and cultural figures.
  • A. George
    George is a masculine given name of Greek origin, commonly used in English-speaking countries and borne by numerous historical and contemporary figures.
  • B. George
    George is a male given name commonly used in English-speaking countries and borne by numerous historical figures, including kings, presidents, and cultural icons.
  • C. George
    George is a common English surname of likely Greek and Latin origin, associated with numerous notable historical and contemporary figures.
  • D. George
    George is a common masculine given name of Greek origin, meaning "farmer" or "earthworker."
  • E. George chosen
    George is a masculine given name of Greek origin meaning "farmer" or "earthworker," widely used in English-speaking countries and beyond.
  • F. None of above.

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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65944c55481909b54a8f9a9c087d6 completed April 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0804eea99c819080b429688a20ff73 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a080639fcb88190ba2c2e389264945e completed May 16, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_6a08073327008190abf3beb8b1638c6c completed May 16, 2026, 5:57 a.m.
Created at: April 10, 2026, 1:52 p.m.