Triple
T14712348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Callias |
E345579
|
entity |
| Predicate | themeOfWorkHeAppearsIn |
P115471
|
FINISHED |
| Object | nature of love |
—
|
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: nature of love | Statement: [Callias, themeOfWorkHeAppearsIn, nature of love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeOfWorkHeAppearsIn Context triple: [Callias, themeOfWorkHeAppearsIn, nature of love]
-
A.
authorOfWorkHeAppearsIn
Indicates that a person is the author of a work in which he himself appears as a character or subject.
-
B.
appearsInWorkByTitle
Indicates that an entity appears in, is featured in, or is contained within a work identified by its title.
-
C.
hasFictionalWork
Indicates that one entity is the creator, owner, or source of a fictional work associated with another entity.
-
D.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
E.
directorOfWorkHeAppearsIn
Indicates that a person serves as the director of a work (such as a film, show, or production) in which he himself appears.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:28 a.m.