Triple
T2941428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buster |
E79394
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Buster |
E79394
|
NE FINISHED |
How this triple was built (2 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: [Buster, name, Buster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buster Context triple: [Buster, name, Buster]
-
A.
Buster
chosen
Buster is the nickname of Vivian Burey Marshall, the first wife of U.S. Supreme Court Justice Thurgood Marshall.
-
B.
Buster the dog
Buster the dog is a loyal canine companion and recurring supporting character in The Mystery Series, often aiding the protagonists in their investigations.
-
C.
Buster Moon
Buster Moon is the optimistic koala theater owner and main protagonist of Illumination Entertainment’s animated film "Sing," known for his relentless determination to save his failing theater through a singing competition.
-
D.
Buddy
Buddy is the young boy narrator and central figure in Truman Capote’s autobiographical short story “A Christmas Memory,” reflecting the author’s own childhood experiences.
-
E.
Buddy
Buddy is the young boy protagonist whose perspective shapes the semi-autobiographical coming-of-age story set during the Troubles in the film "Belfast."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9870e5d08190b3b277ba823fe6a1 |
completed | March 8, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08689ec3481909d9f039069ff19c7 |
completed | March 10, 2026, 9 p.m. |
Created at: March 8, 2026, 2:56 p.m.