Triple
T16601651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paydirt Pete |
E403343
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Pete
Pete is the abbreviated name for Paydirt Pete, the costumed prospector mascot of the University of Texas at El Paso.
|
E1222688
|
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: [Paydirt Pete, shortName, Pete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Context triple: [Paydirt Pete, shortName, Pete]
-
A.
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.
-
B.
Pete
Pete is the young orphaned boy who befriends and is protected by a friendly dragon in the Disney film "Pete's Dragon."
-
C.
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.
-
D.
Pete
Pete is a character in the 2014 found-footage-style disaster film "Into the Storm," which centers on a series of devastating tornadoes striking a small town.
-
E.
Pete
Pete is the nickname of Pete Vuckovich, a former Major League Baseball pitcher best known for winning the 1982 American League Cy Young Award with the Milwaukee Brewers.
- 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: [Paydirt Pete, shortName, Pete]
Generated description
Pete is the abbreviated name for Paydirt Pete, the costumed prospector mascot of the University of Texas at El Paso.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pete Target entity description: Pete is the abbreviated name for Paydirt Pete, the costumed prospector mascot of the University of Texas at El Paso.
-
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 a classic Disney cartoon villain, best known as Mickey Mouse’s burly, antagonistic foe in the Mickey Mouse franchise.
-
C.
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.
-
D.
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.
-
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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d764574819081366374ca0c9bea |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a48c088190b6585e42dcd73705 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a0076468d588190972639d0a22f0e3e |
completed | May 10, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007728680c819082a3bd7e84edb2b0 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 10, 2026, 5:17 a.m.