Triple
T3530147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnston McCulley |
E74638
|
entity |
| Predicate | publicationYearOfTheCurseOfCapistrano |
P48134
|
FINISHED |
| Object | 1919 |
—
|
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: 1919 | Statement: [Johnston McCulley, publicationYearOfTheCurseOfCapistrano, 1919]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationYearOfTheCurseOfCapistrano Context triple: [Johnston McCulley, publicationYearOfTheCurseOfCapistrano, 1919]
-
A.
publicationYearSpanishEdition
Indicates the year in which the Spanish-language edition of a work was published.
-
B.
captaincyEndYear
Indicates the year in which an entity’s period of serving as captain comes to an end.
-
C.
conquestYear
Indicates the year in which one entity successfully conquered or took control over another entity.
-
D.
condemnedInYear
Indicates that an entity was formally condemned or denounced in a specific calendar year.
-
E.
yearOfPassage
Indicates the specific calendar year in which a law, bill, or formal measure was officially passed or enacted.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc9764a881908aa8d25dc9adf59e |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae13ab808190a5d6ecdc7543445e |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed7f2ec819085467d281712e0e8 |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:19 p.m.