Triple
T1441479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equestrian Statue of George Washington (Boston) |
E31080
|
entity |
| Predicate | subjectDeathDate |
P20
|
FINISHED |
| Object | 1799 |
—
|
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: 1799 | Statement: [Equestrian Statue of George Washington (Boston), subjectDeathDate, 1799]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectDeathDate Context triple: [Equestrian Statue of George Washington (Boston), subjectDeathDate, 1799]
-
A.
dateOfDeath
chosen
Indicates the specific date on which an individual or entity died.
-
B.
deathDateEvent
Indicates the date on which a death occurred or a death-related event took place.
-
C.
dateOfPassage
Indicates the specific calendar date on which a law, bill, or formal measure was officially approved or enacted.
-
D.
diedShortlyBefore
Indicates that one entity’s death occurred a brief time before another specified event or entity’s death.
-
E.
deathStatus
Indicates whether an entity is alive, dead, or in another specified state related to mortality.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.