Triple

T12987646
Position Surface form Disambiguated ID Type / Status
Subject George Clarence Moran E321810 entity
Predicate givenName P17 FINISHED
Object George
George is the given name of George Clarence "Bugs" Moran, a notorious American gangster and bootlegger active during the Prohibition era.
 E986526 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 Clarence Moran, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George
Context triple: [George Clarence Moran, 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 Clarence Moran, givenName, George]
Generated description
George is the given name of George Clarence "Bugs" Moran, a notorious American gangster and bootlegger active during the Prohibition era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George
Target entity description: George is the given name of George Clarence "Bugs" Moran, a notorious American gangster and bootlegger active during the Prohibition era.
  • A. George chosen
    George is the given first name of the American gangster Bugs Moran, a prominent Prohibition-era mobster in Chicago.
  • B. George
    George is the given name of George Clinton, the influential American funk musician and bandleader behind Parliament-Funkadelic.
  • C. George
    George is the given first name of G. Gordon Liddy, the former FBI agent and key operative in the Watergate scandal.
  • D. George
    George is the given name of George Gordon Battle Liddy, the American lawyer and political operative best known for his role in the Watergate scandal.
  • E. George
    George is the given first name of Geordie Hormel, an American musician, composer, and heir to the Hormel meatpacking fortune.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5f47ec8190b39107bc016f9824 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0f95c548190a6fc2c1ea98246c3 completed May 3, 2026, 3:28 a.m.
NEDg Description generation batch_69f6c34532148190a0c609ff085e359c completed May 3, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_69f6c3c6b240819099310f50cc7eabca completed May 3, 2026, 3:40 a.m.
Created at: April 9, 2026, 8:41 p.m.