Triple
T37620096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Gratz (cenotaph or family connection) |
E936042
|
entity |
| Predicate | eraOfPersonCommemorated |
P66853
|
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: [Rebecca Gratz (cenotaph or family connection), eraOfPersonCommemorated, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfPersonCommemorated Context triple: [Rebecca Gratz (cenotaph or family connection), eraOfPersonCommemorated, 19th century]
-
A.
eraOfMainCommemoration
Indicates the historical period or era during which the primary commemoration or remembrance of something takes place.
-
B.
eraCommemorated
chosen
Indicates that a particular era or historical period is honored, remembered, or marked by a commemorative act, object, or event.
-
C.
hasTypeOfPersonCommemorated
Indicates that something is associated with or dedicated to a person of a specified type or role being commemorated.
-
D.
eraOfFame
Indicates the time period during which an entity was most widely recognized, influential, or prominent.
-
E.
commemoratedPerson
Indicates that the subject serves as a memorial or tribute to the referenced person.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.