Triple
T13541281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Sanderson |
E323390
|
entity |
| Predicate | yearOfLatestAppearance |
P45031
|
FINISHED |
| Object | 2022 |
—
|
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: 2022 | Statement: [Sarah Sanderson, yearOfLatestAppearance, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfLatestAppearance Context triple: [Sarah Sanderson, yearOfLatestAppearance, 2022]
-
A.
lastAppearanceYear
chosen
Indicates the calendar year in which an entity made its most recent appearance.
-
B.
lastRecordedIndividualYear
Indicates the calendar year in which the last known individual of a species or population was recorded.
-
C.
lastPublicationYear
Indicates the year in which an entity’s most recent publication was released.
-
D.
lastAppearance
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
-
E.
lastEditionYearUnderThisName
Indicates the final year in which something (such as a publication, event, or product) was issued or held under a specific name before that name changed or was discontinued.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.