Triple
T623885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivian "Buster" Burey Marshall |
E14572
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Buster
Buster is the nickname of Vivian Burey Marshall, the first wife of U.S. Supreme Court Justice Thurgood Marshall.
|
E79394
|
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: Buster | Statement: [Vivian "Buster" Burey Marshall, nickname, Buster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buster Context triple: [Vivian "Buster" Burey Marshall, nickname, Buster]
-
A.
Bert
Bert is the given name of Bert Hölldobler, a renowned German behavioral biologist and sociobiologist known for his pioneering research on ants and social insects.
-
B.
Benny the Bull
Benny the Bull is the high-energy, acrobatic mascot of the NBA’s Chicago Bulls, known for his comedic antics and fan engagement during games.
-
C.
Rufus
Rufus was a 1970s American funk and R&B band best known for launching Chaka Khan’s career and for hits like “Tell Me Something Good” and “Ain’t Nobody.”
-
D.
Sylvester
Sylvester is a classic Looney Tunes cartoon cat best known for his lisping voice and comical attempts to catch Tweety Bird.
-
E.
Monty
Monty is the nickname of British Field Marshal Bernard Law Montgomery, a prominent World War II commander best known for his leadership in the North African and European campaigns.
- 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: Buster Triple: [Vivian "Buster" Burey Marshall, nickname, Buster]
Generated description
Buster is the nickname of Vivian Burey Marshall, the first wife of U.S. Supreme Court Justice Thurgood Marshall.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buster Target entity description: Buster is the nickname of Vivian Burey Marshall, the first wife of U.S. Supreme Court Justice Thurgood Marshall.
-
A.
Bert
Bert is the given name of Bert Hölldobler, a renowned German behavioral biologist and sociobiologist known for his pioneering research on ants and social insects.
-
B.
Benny the Bull
Benny the Bull is the high-energy, acrobatic mascot of the NBA’s Chicago Bulls, known for his comedic antics and fan engagement during games.
-
C.
Rufus
Rufus was a 1970s American funk and R&B band best known for launching Chaka Khan’s career and for hits like “Tell Me Something Good” and “Ain’t Nobody.”
-
D.
Sylvester
Sylvester is a classic Looney Tunes cartoon cat best known for his lisping voice and comical attempts to catch Tweety Bird.
-
E.
Monty
Monty is the nickname of British Field Marshal Bernard Law Montgomery, a prominent World War II commander best known for his leadership in the North African and European campaigns.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e41753881909f0faed720cc31bc |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56eee035c8190868aeac32be57959 |
completed | March 2, 2026, 11:05 a.m. |
| NEDg | Description generation | batch_69a56f655364819092b8edf5cd2dacd3 |
completed | March 2, 2026, 11:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a56fdffd008190a502d68f46c3831c |
completed | March 2, 2026, 11:09 a.m. |
Created at: March 1, 2026, 7:35 p.m.