Triple
T36806739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tragedy of an Elderly Gentleman: A.D. 3000 |
E909475
|
entity |
| Predicate | cycleCreator |
P47504
|
FINISHED |
| Object | George Bernard Shaw |
—
|
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: George Bernard Shaw | Statement: [Tragedy of an Elderly Gentleman: A.D. 3000, cycleCreator, George Bernard Shaw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cycleCreator Context triple: [Tragedy of an Elderly Gentleman: A.D. 3000, cycleCreator, George Bernard Shaw]
-
A.
cycleTheme
Indicates a recurring subject, motif, or pattern that repeatedly appears or is developed across parts of a work, process, or sequence.
-
B.
cycleType
Indicates the specific kind or category of cycle involved in a repeated or cyclical process or relationship.
-
C.
cycleWith
Indicates that two or more entities participate together in a cycling activity, such as riding bicycles along the same route or at the same time.
-
D.
cycleAuthor
chosen
Indicates that an entity is the author or creator responsible for a particular cycle (such as a recurring process, sequence, or version cycle).
-
E.
cycleConsistsOf
Indicates that a cycle is composed of, or made up from, the specified component elements or segments.
- 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_69f76e7cbbf48190891227b14d041139 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:13 p.m.