Triple
T17695520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ein Brief (Lord Chandos-Brief) |
E441154
|
entity |
| Predicate | discussedAlongside |
P25756
|
FINISHED |
| Object | works of Ludwig Wittgenstein |
—
|
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: works of Ludwig Wittgenstein | Statement: [Ein Brief (Lord Chandos-Brief), discussedAlongside, works of Ludwig Wittgenstein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discussedAlongside Context triple: [Ein Brief (Lord Chandos-Brief), discussedAlongside, works of Ludwig Wittgenstein]
-
A.
discussedAs
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
B.
appearsAlongside
chosen
Indicates that two entities are present or occur together in the same context, setting, or instance.
-
C.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
D.
discussedInWorkOf
Indicates that a subject is examined, treated, or talked about within a particular work or publication.
-
E.
frequentlyDiscussedIn
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e471559744819080b99081c90ab614 |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:04 a.m.