Triple
T89267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Ann Delano Roosevelt |
E1793
|
entity |
| Predicate | livedDuring |
P3869
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Sara Ann Delano Roosevelt, livedDuring, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: livedDuring Context triple: [Sara Ann Delano Roosevelt, livedDuring, 19th century]
-
A.
enactedDuring
Indicates that an action, event, or state occurred within the temporal span of a specified time period or event.
-
B.
operatedDuring
Indicates that an action, process, or system was functioning or in operation throughout a specified time period or event.
-
C.
servedAsPresidentDuring
Indicates that a person held the office of president for the duration of a specified time period or event.
-
D.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
-
E.
dateOfDeath
Indicates the specific date on which an individual or entity died.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24feef1b08190bb9525f71cce053e |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24eb82d408190b0f9c786152e8e4c |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a24fed6b8c819080a6c0cd3b16e6bd |
completed | Feb. 28, 2026, 2:16 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.