Triple
T6435375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G. Gordon Liddy |
E129881
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
George
George is the given first name of G. Gordon Liddy, the former FBI agent and key operative in the Watergate scandal.
|
E593020
|
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: [G. Gordon Liddy, givenName, George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Context triple: [G. Gordon Liddy, givenName, George]
-
A.
George
George is the first name of George Washington, the first President of the United States and a key leader in the American Revolutionary War.
-
B.
George
George is the given name of George Brydges Rodney, an 18th-century British naval officer and admiral noted for his victories during the American Revolutionary War.
-
C.
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.
-
D.
George
George is the given name of George Monck, a 17th-century English soldier and statesman instrumental in the Restoration of the monarchy under Charles II.
-
E.
George
George is the given name of George Monck, 1st Duke of Albemarle, a key English soldier and statesman who helped restore Charles II to the throne in 1660.
- 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: [G. Gordon Liddy, givenName, George]
Generated description
George is the given first name of G. Gordon Liddy, the former FBI agent and key operative 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 first name of G. Gordon Liddy, the former FBI agent and key operative in the Watergate scandal.
-
A.
George
George is the first name of George Washington, the first President of the United States and a key leader in the American Revolutionary War.
-
B.
George
George is the given name of American actor George Peppard, best known for starring in the television series "The A-Team" and films such as "Breakfast at Tiffany's."
-
C.
George
George is the given first name of the fictional character Gob Bluth from the television series "Arrested Development."
-
D.
George
George is the given name of Lord George Gordon, an 18th-century British politician best known for inciting the anti-Catholic Gordon Riots of 1780.
-
E.
George
George is the first name of Hall of Fame baseball player Ken Griffey Jr., one of Major League Baseball’s most celebrated outfielders.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c069415c3c8190b91bd12ae79edd26 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640bcc94c81909efb0253e8c0e7f5 |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c6447925d88190a467c6f636afb197 |
completed | March 27, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c645141b548190999b69c0f50c7625 |
completed | March 27, 2026, 8:51 a.m. |
Created at: March 22, 2026, 4:45 p.m.