Triple
T16118924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Geoghegan |
E391081
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Pete
Pete is the nickname of Australian racing driver Ian Geoghegan, a prominent figure in touring car racing during the 1960s and 1970s.
|
E1196551
|
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: Pete | Statement: [Ian Geoghegan, nickname, Pete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Context triple: [Ian Geoghegan, nickname, Pete]
-
A.
Pete
Pete is a common masculine given name, typically used as a familiar or informal form of the name Peter.
-
B.
Pete
Pete is a classic Disney cartoon villain, best known as Mickey Mouse’s burly, antagonistic foe in the Mickey Mouse franchise.
-
C.
Pete
Pete is a fictional character known as the son of Uncle Tom in Harriet Beecher Stowe’s anti-slavery novel "Uncle Tom’s Cabin."
-
D.
Pete
Pete is the nickname of Frank K. Everest Jr., a renowned United States Air Force test pilot and brigadier general known for his high-speed flight records.
-
E.
Pete
Pete is the nickname of Grover Cleveland Alexander, a Hall of Fame Major League Baseball pitcher and one of the greatest hurlers of the early 20th century.
- 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: Pete Triple: [Ian Geoghegan, nickname, Pete]
Generated description
Pete is the nickname of Australian racing driver Ian Geoghegan, a prominent figure in touring car racing during the 1960s and 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pete Target entity description: Pete is the nickname of Australian racing driver Ian Geoghegan, a prominent figure in touring car racing during the 1960s and 1970s.
-
A.
Pete
Pete is the nickname of Frank K. Everest Jr., a renowned United States Air Force test pilot and brigadier general known for his high-speed flight records.
-
B.
Pete
Pete is the nickname of American test pilot and astronaut William "Pete" Knight, known for setting a world speed record in the X-15 rocket plane.
-
C.
Pete
Pete is the well-known nickname of Confederate General James Longstreet, one of Robert E. Lee’s principal corps commanders during the American Civil War.
-
D.
Pete
Pete is the nickname of American astronaut Charles "Pete" Conrad, the third person to walk on the Moon.
-
E.
Pete
Pete is a common masculine given name, typically used as a familiar or informal form of the name Peter.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016d527c8190928e73661b18a914 |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a61e448190be1f8c79cae6c7ee |
completed | May 10, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69fff3b25ba081909c396431ace865ac |
completed | May 10, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff4a2964c8190bfa8c2fa0f934abe |
completed | May 10, 2026, 2:59 a.m. |
Created at: April 10, 2026, 5 a.m.