Triple
T164377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Alba Madonna |
E2978
|
entity |
| Predicate | periodInArtistCareer |
P561
|
FINISHED |
| Object | Raphael’s Roman period |
—
|
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: Raphael’s Roman period | Statement: [The Alba Madonna, periodInArtistCareer, Raphael’s Roman period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodInArtistCareer Context triple: [The Alba Madonna, periodInArtistCareer, Raphael’s Roman period]
-
A.
livedDuring
Indicates that the subject existed or was alive at some point within the time period or lifespan associated with the object.
-
B.
yearSigned
Indicates the specific year in which an agreement, contract, or document was formally signed.
-
C.
activeInDecade
Indicates that an entity was active or engaged in its primary activities during a specified decade.
-
D.
notableEra
chosen
Indicates the historical period or era for which an entity is especially recognized or significant.
-
E.
publicationPeriod
Indicates the span of time during which something is published, active in publication, or valid as a published work.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258827da481909b20ea5e9d21676f |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2566392208190a538ea9aa1fac53e |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.