Triple
T28167628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleep (1963 film) |
E715370
|
entity |
| Predicate | firstScreeningDate |
P200975
|
FINISHED |
| Object | 1964-01-17 |
—
|
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: 1964-01-17 | Statement: [Sleep (1963 film), firstScreeningDate, 1964-01-17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstScreeningDate Context triple: [Sleep (1963 film), firstScreeningDate, 1964-01-17]
-
A.
firstScreeningEvent
Indicates the event representing the earliest or initial screening occurrence associated with an entity.
-
B.
firstScreeningYear
Indicates the year in which an entity (such as a film or show) was first publicly screened or premiered.
-
C.
screenedOn
Indicates that something (such as a film, show, or content) was shown or broadcast on a particular screen, channel, platform, or date.
-
D.
firstScreenedAs
Indicates that an entity was initially shown, presented, or tested in a particular screening context or medium.
-
E.
firstScreeningLocation
Indicates the location where something (such as a person, item, or case) is initially screened or evaluated for the first time.
- F. None of above. chosen
Provenance (4 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69ffbf84f4948190b41a7bba07ae61ec |
completed | May 9, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69ffbf0a59f88190870dbe25d8a63a00 |
completed | May 9, 2026, 11:11 p.m. |
| PDg | Predicate description generation | batch_69ffbf8402c48190a9bf3c3fcb874508 |
completed | May 9, 2026, 11:13 p.m. |
Created at: April 27, 2026, 10:10 p.m.