Triple
T16709163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Camino Memorial Park |
E406056
|
entity |
| Predicate | hasNotableBurial |
P196
|
FINISHED |
| Object |
Buzzie Bavasi
Buzzie Bavasi was a prominent Major League Baseball executive best known for building the Brooklyn/Los Angeles Dodgers into a powerhouse franchise in the 1950s and 1960s.
|
E1229736
|
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: Buzzie Bavasi | Statement: [El Camino Memorial Park, hasNotableBurial, Buzzie Bavasi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buzzie Bavasi Context triple: [El Camino Memorial Park, hasNotableBurial, Buzzie Bavasi]
-
A.
Bubs
Bubs is a casual nickname commonly used for the character Bubbles, often conveying affection or familiarity.
-
B.
Bubas
Bubas is a surname most notably associated with Vic Bubas, a prominent American college basketball coach.
-
C.
Bubi
Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
-
D.
Bubi
Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
-
E.
Harvie
Harvie is a given name and surname, typically a variant of Harvey, used in English-speaking countries.
- 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: Buzzie Bavasi Triple: [El Camino Memorial Park, hasNotableBurial, Buzzie Bavasi]
Generated description
Buzzie Bavasi was a prominent Major League Baseball executive best known for building the Brooklyn/Los Angeles Dodgers into a powerhouse franchise in the 1950s and 1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buzzie Bavasi Target entity description: Buzzie Bavasi was a prominent Major League Baseball executive best known for building the Brooklyn/Los Angeles Dodgers into a powerhouse franchise in the 1950s and 1960s.
-
A.
Bubs
Bubs is a casual nickname commonly used for the character Bubbles, often conveying affection or familiarity.
-
B.
Bubas
Bubas is a surname most notably associated with Vic Bubas, a prominent American college basketball coach.
-
C.
Bubi
Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
-
D.
Bubi
Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
-
E.
Harvie
Harvie is a given name and surname, typically a variant of Harvey, used in English-speaking countries.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38650c3808190a561f22b169dc3ae |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a739308190b4d645e096d1710b |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00935ad86881908c45cdb513313a1d |
completed | May 10, 2026, 2:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009a0bd7f8819090fb16d88108b96d |
completed | May 10, 2026, 2:45 p.m. |
Created at: April 10, 2026, 5:20 a.m.