Triple
T6609467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imagine |
E149199
|
entity |
| Predicate | inspiredBy |
P9
|
FINISHED |
| Object | Grapefruit |
E400758
|
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: Grapefruit | Statement: [Imagine, inspiredBy, Grapefruit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grapefruit Context triple: [Imagine, inspiredBy, Grapefruit]
-
A.
Grapefruit
chosen
Grapefruit is Yoko Ono’s influential 1964 conceptual art book of event scores and instructions that helped shape the development of Fluxus and conceptual art.
-
B.
Cítricos
Cítricos is an upscale, Mediterranean-inspired restaurant located at Disney’s Grand Floridian Resort & Spa in Walt Disney World.
-
C.
Lemon
Lemon is a 1993 song by U2 from their album "Zooropa," noted for its dance-oriented sound and Bono’s distinctive falsetto vocals.
-
D.
Granadina
Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
-
E.
Peach
The peach is a sweet, juicy stone fruit with fuzzy skin, widely cultivated and celebrated in Georgia and other temperate regions.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3301dc819082d427675c36aaa6 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbd228fc8190852fac2308233765 |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:57 p.m.