Triple
T1664798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleep (1963 film) |
E35985
|
entity |
| Predicate | hasSubject |
P450
|
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: [Sleep (1963 film), hasSubject, sleep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sleep Context triple: [Sleep (1963 film), hasSubject, 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.
No Sleeep
"No Sleeep" is a sultry, mid-tempo R&B single by Janet Jackson, released in 2015 as the lead track from her album "Unbreakable."
-
C.
Insomniac
Insomniac is a 1995 punk rock album by Green Day, known for its heavier, darker sound and fast-paced, aggressive songs.
-
D.
Bedtime
"Bedtime" is a British television drama series best known for its intimate, character-driven stories set around the lives of neighbors in a suburban street at night.
-
E.
Durme
The Durme is a small river in Belgium that flows through East Flanders before joining the Scheldt.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90ad958f48190a6344e1be78b574d |
completed | March 5, 2026, 4:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad682fd42881908ecd0f331e81aba8 |
completed | March 8, 2026, 12:14 p.m. |
Created at: March 4, 2026, 7:29 p.m.