Triple
T8545699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yachts and Things |
E202318
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Yachts and Things |
E202318
|
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: Yachts and Things | Statement: [Yachts and Things, hasTitle, Yachts and Things]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yachts and Things Context triple: [Yachts and Things, hasTitle, Yachts and Things]
-
A.
“Yachts and Things”
chosen
“Yachts and Things” is a short story by Truman Capote, included among the fragments of his unfinished novel *Answered Prayers*, depicting the decadent lives of the wealthy elite.
-
B.
YACHT
YACHT is an American electronic pop band known for its eclectic, experimental sound and multimedia-driven performances.
-
C.
Nautica
Nautica is an American lifestyle brand best known for its nautical-inspired apparel and accessories.
-
D.
Donald's Boat
Donald's Boat is a whimsical, cartoon-style play area and walk-through attraction themed as Donald Duck’s nautical home in Disney parks.
-
E.
yacht Disco Volante
The yacht Disco Volante is the luxurious, high-tech vessel used as a mobile base by the villain Emilio Largo in the James Bond film "Thunderball."
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe74f62148190bfd6cacf5d4f74b6 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6db3eef08190934f5b42807ad769 |
completed | April 2, 2026, 1:23 p.m. |
Created at: March 30, 2026, 6:18 p.m.