Triple
T38344334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hagiography of Stefan Nemanja |
E1041497
|
entity |
| Predicate | depictsTitleOfSubject |
P1581
|
FINISHED |
| Object | Grand Prince of Serbia |
E382090
|
NE 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: Grand Prince of Serbia | Statement: [Hagiography of Stefan Nemanja, depictsTitleOfSubject, Grand Prince of Serbia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsTitleOfSubject Context triple: [Hagiography of Stefan Nemanja, depictsTitleOfSubject, Grand Prince of Serbia]
-
A.
depictsTitleHolder
Indicates that one entity visually represents or portrays the current holder of a specific title or position.
-
B.
depictedSubject
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
-
C.
depictsName
Indicates that something visually represents or portrays the name of an entity.
-
D.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
E.
titleSubjectOf
Indicates that a title (such as a book, article, or work) is about or primarily concerns a particular subject.
- F. None of above.
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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a420df64ebc8190a5fce4d636ce32ee |
completed | June 29, 2026, 6:17 a.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: May 3, 2026, 4:30 p.m.