Triple
T23969582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunny |
E604192
|
entity |
| Predicate | hasAlternateScriptTitle |
P126570
|
FINISHED |
| Object | బన్నీ |
—
|
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: బన్నీ | Statement: [Bunny, hasAlternateScriptTitle, బన్నీ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternateScriptTitle Context triple: [Bunny, hasAlternateScriptTitle, బన్నీ]
-
A.
hasAlternateTitleRegion
Indicates that an entity has an alternate title that is specifically used or valid within a particular geographic region.
-
B.
hasAlternativeEditionTitle
Indicates that an entity has a different or variant title used in another edition of the same work.
-
C.
hasOriginalTitleScript
chosen
Indicates that an entity’s original title is written or represented in a specific writing system or script.
-
D.
haveAlternativeTitle
Indicates that an entity is known by one or more alternative titles or names in addition to its primary title.
-
E.
languageOfAlternativeTitle
Indicates the language in which an alternative or variant title of an entity is expressed.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1db392c8190a1044b75b898243a |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.