Triple

T23355117
Position Surface form Disambiguated ID Type / Status
Subject George Gordon Battle Liddy E593021 entity
Predicate givenName P17 FINISHED
Object 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.
 E593021 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 Gordon Battle Liddy, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George
Context triple: [George Gordon Battle Liddy, 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 Gordon Battle Liddy, givenName, George]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George
Target entity description: 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.
  • A. George chosen
    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.
  • B. George
    George is the given first name of G. Gordon Liddy, the former FBI agent and key operative in the Watergate scandal.
  • C. George
    George is the given name of George W. Norris, a prominent early 20th-century American politician known for his progressive reforms and long service in the U.S. Congress.
  • D. George
    George is the given name of George S. Patton Sr., an American politician and attorney who served in the California state legislature in the late 19th century.
  • E. George
    George is the given first name of American politician and civil rights leader Mickey Leland.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a169bb88190a2ca659fce1133e5 completed April 29, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dcfa8248190a55172c9784d804a completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c60283668819096076b1bf406eaa0 completed May 19, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_6a0c60b52fe88190854803902df750c5 completed May 19, 2026, 1:08 p.m.
Created at: April 17, 2026, 5:21 p.m.