Triple
T13726809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love the Future |
E329678
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sleep |
E35985
|
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: Sleep | Statement: [Love the Future, hasPart, Sleep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sleep Context triple: [Love the Future, hasPart, Sleep]
-
A.
Sleep
chosen
Sleep is an experimental 1963 avant-garde film by Andy Warhol consisting of extended, nearly static footage of poet John Giorno sleeping.
-
B.
Sleep
Sleep is a naturally recurring state of rest in which consciousness is altered and the body and brain undergo essential restorative processes.
-
C.
Night and Sleep
"Night and Sleep" is a symbolist painting by British artist Evelyn De Morgan that allegorically personifies the figures of Night and Sleep in a richly colored, mystical composition.
-
D.
Snooze
"Snooze" is a track by the American R&B singer SOS, likely showcasing her smooth vocal style and emotionally driven songwriting.
-
E.
Insomnias
"Insomnias" is a surrealist work by American artist Dorothea Tanning, reflecting her dreamlike, psychologically charged style.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f63c1c8190a7d0b84f319aa99b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6302e081908e2680443852d9fd |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.