Triple
T38324477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | შოთა რუსთაველი |
E1036744
|
entity |
| Predicate | mainWorkTitleInEnglish |
P184254
|
FINISHED |
| Object | The Knight in the Panther's Skin |
—
|
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: The Knight in the Panther's Skin | Statement: [შოთა რუსთაველი, mainWorkTitleInEnglish, The Knight in the Panther's Skin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainWorkTitleInEnglish Context triple: [შოთა რუსთაველი, mainWorkTitleInEnglish, The Knight in the Panther's Skin]
-
A.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
B.
mainTitleOf
Indicates that one entity is the primary or official title assigned to another entity (such as a work, item, or record).
-
C.
usedInWorkEnglishTitle
Indicates that something (such as a term, concept, or element) is used within a work whose title is given in English.
-
D.
workTitleInLanguage
chosen
Indicates that a work has a specific title expressed in a particular language.
-
E.
primarySourceTitleInEnglish
Indicates that the predicate specifies the title of a primary source expressed in the English language.
- 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_69f76e1c16fc8190bde982289dd5106b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.