Triple
T12670716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucky Day |
E302671
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Dusty Bottoms |
E302672
|
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: Dusty Bottoms | Statement: [Lucky Day, hasFriend, Dusty Bottoms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dusty Bottoms Context triple: [Lucky Day, hasFriend, Dusty Bottoms]
-
A.
Dusty Bottoms
chosen
Dusty Bottoms is one of the three bumbling, out-of-work silent film actors who become accidental heroes in the comedy film "Three Amigos."
-
B.
Balltown
Balltown is a small unincorporated community located within Nelson County, Kentucky, known for its rural character and proximity to the state’s bourbon-producing region.
-
C.
American Bottoms
American Bottoms is a fertile floodplain along the Mississippi River in southwestern Illinois, known for its rich agricultural land and industrial development.
-
D.
Rocktown
Rocktown was the original name of what is now Harrisonburg, Virginia, a city in the Shenandoah Valley.
-
E.
Darbyville
Darbyville is the former name of the city now known as Macclenny in Baker County, Florida.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96183a6048190b2ef219eb9d20aa4 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688e101481909bc3b9e13ed84632 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:20 p.m.