Triple
T35709308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pantomimes lumineuses |
E1031808
|
entity |
| Predicate | firstPublicPresentationDate |
P18472
|
FINISHED |
| Object | 1892-10-28 |
—
|
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: 1892-10-28 | Statement: [Pantomimes lumineuses, firstPublicPresentationDate, 1892-10-28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicPresentationDate Context triple: [Pantomimes lumineuses, firstPublicPresentationDate, 1892-10-28]
-
A.
firstPublicUseYear
Indicates the calendar year in which something was first made available for use by the public.
-
B.
firstAppearedAt
chosen
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
-
C.
firstPresentedFor
Indicates that one entity was initially introduced, submitted, or shown to another entity at a particular time or context.
-
D.
firstUsedOn
Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or entity.
-
E.
firstMajorPresentationYear
Indicates the year in which an entity gave its first major presentation.
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.