Triple
T11437183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judge Rutherford |
E271039
|
entity |
| Predicate | yearNameJehovahsWitnessesAdopted |
P48251
|
FINISHED |
| Object | 1931 |
—
|
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: 1931 | Statement: [Judge Rutherford, yearNameJehovahsWitnessesAdopted, 1931]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearNameJehovahsWitnessesAdopted Context triple: [Judge Rutherford, yearNameJehovahsWitnessesAdopted, 1931]
-
A.
religiousEventYear
Indicates the calendar year in which a specified religious event took place or is scheduled to occur.
-
B.
yearDescribedAs
Indicates the specific year in which something was formally characterized, documented, or described.
-
C.
worldTitleYear
Indicates that a work holds a world title associated with a specific year.
-
D.
usedNameToYear
chosen
Indicates that a particular name was in use or valid during a specified year.
-
E.
yearTitleCreated
Indicates the year in which the referenced title (such as a work, document, or creative piece) was originally created.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8088711ec8190afae9f4d9f2a11ca |
completed | April 9, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.