Triple
T1664821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleep (1963 film) |
E35985
|
entity |
| Predicate | workPeriodOfArtist |
P25964
|
FINISHED |
| Object | early 1960s Andy Warhol films |
—
|
LITERAL 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: early 1960s Andy Warhol films | Statement: [Sleep (1963 film), workPeriodOfArtist, early 1960s Andy Warhol films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workPeriodOfArtist Context triple: [Sleep (1963 film), workPeriodOfArtist, early 1960s Andy Warhol films]
-
A.
notableWorkPeriod
chosen
Indicates the time span during which an entity produced or was associated with its most significant or well-known works.
-
B.
chronologyWithinArtistOeuvre
Indicates the temporal ordering of works within a single artist’s body of work, specifying how one piece relates in time to others by the same artist.
-
C.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
-
D.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
E.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
- F. None of above.
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_69aa994f92b0819084ee2f6a672334b9 |
completed | March 6, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69a907d2475c8190b7ec7dccd3335eb1 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.