Triple
T25065407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paramahansa Yogananda |
E627770
|
entity |
| Predicate | gaveLectureSeries |
P36187
|
FINISHED |
| Object | 1920 International Congress of Religious Liberals in Boston |
—
|
NE NERFINISHED |
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: 1920 International Congress of Religious Liberals in Boston | Statement: [Paramahansa Yogananda, gaveLectureSeries, 1920 International Congress of Religious Liberals in Boston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gaveLectureSeries Context triple: [Paramahansa Yogananda, gaveLectureSeries, 1920 International Congress of Religious Liberals in Boston]
-
A.
lectureSeries
Indicates a relationship where a set of lectures is organized and presented as a coherent, thematically linked series.
-
B.
gaveLecturesAt
chosen
Indicates that a person delivered lectures or taught courses at a particular institution or location.
-
C.
lecturesHeldIn
Indicates that a lecture event takes place or is conducted within a specific location or venue.
-
D.
yearLecturesDelivered
Indicates the specific year in which the lectures were delivered.
-
E.
notableLecturer
Indicates that a person is recognized as a distinguished or prominent lecturer, often due to their expertise, impact, or reputation in giving lectures.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f4599d4b088190bbec60f2e3e9606b |
completed | May 1, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:10 a.m.