Triple
T1601067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picasso's Blue Period |
E34391
|
entity |
| Predicate | timeInArtistCareer |
P30618
|
FINISHED |
| Object | early career of Pablo Picasso |
—
|
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 career of Pablo Picasso | Statement: [Picasso's Blue Period, timeInArtistCareer, early career of Pablo Picasso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInArtistCareer Context triple: [Picasso's Blue Period, timeInArtistCareer, early career of Pablo Picasso]
-
A.
activeYearsInCareer
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
-
B.
activeYearsInSport
Indicates the span of years during which an entity actively participated in a particular sport.
-
C.
activeYearsInFilm
Indicates the span of years during which an entity was actively involved in film-related work or roles.
-
D.
allStarAppearances
Indicates the number of times an entity has been selected to participate in an All-Star event or game.
-
E.
creatorLifespan
Indicates the time period between the birth and death of the creator associated with an entity.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a95aada3f881909053363c01de8b57 |
completed | March 5, 2026, 10:29 a.m. |
Created at: March 4, 2026, 7:28 p.m.