Triple
T1654392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Everett Millais |
E35763
|
entity |
| Predicate | active years |
P18004
|
FINISHED |
| Object | 1840s–1890s |
—
|
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: 1840s–1890s | Statement: [John Everett Millais, active years, 1840s–1890s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: active years Context triple: [John Everett Millais, active years, 1840s–1890s]
-
A.
activeYearsInCareer
chosen
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
-
B.
activeInYear
Indicates that an entity was active, functioning, or operational during a specified year.
-
C.
activeYearsInSport
Indicates the span of years during which an entity actively participated in a particular sport.
-
D.
activeYearsEndTime
Indicates the point in time when an entity’s period of activity or operation comes to an end.
-
E.
activeYearsInFilm
Indicates the span of years during which an entity was actively involved in film-related work or roles.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.