Triple
T1480659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford's Theatre |
E30946
|
entity |
| Predicate | functionDuring20thCentury |
P29254
|
FINISHED |
| Object | museum |
—
|
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: museum | Statement: [Ford's Theatre, functionDuring20thCentury, museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionDuring20thCentury Context triple: [Ford's Theatre, functionDuring20thCentury, museum]
-
A.
statusIn20thCentury
Indicates that an entity held a particular status, condition, or classification specifically during the 20th century.
-
B.
usedInEarly20thCentury
Indicates that something was in use or commonly employed during the early 20th century.
-
C.
century
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
-
D.
centuryOfWork
Indicates the century during which a particular work, activity, or contribution primarily took place.
-
E.
collectionEndCentury
Indicates the century in which a collection or collecting activity came to an end.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c674cc9c819088fc9146c7a7a914 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c484e52c81908948ff8c0a42751b |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c57984088190b2c2d2d9cc2e5df9 |
completed | March 1, 2026, 11:02 p.m. |
Created at: March 1, 2026, 8:11 p.m.