Triple
T4515964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savitri: A Legend and a Symbol |
E102152
|
entity |
| Predicate | firstCompleteEdition |
P40971
|
FINISHED |
| Object | 1950–1951 |
—
|
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: 1950–1951 | Statement: [Savitri: A Legend and a Symbol, firstCompleteEdition, 1950–1951]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCompleteEdition Context triple: [Savitri: A Legend and a Symbol, firstCompleteEdition, 1950–1951]
-
A.
firstCompleteEditionPublisher
Indicates the publisher responsible for issuing the first complete edition of a work.
-
B.
firstCompleteEditionPlace
Indicates the place where the first complete edition of a work was published or produced.
-
C.
firstEditionType
Indicates that an entity is classified as a first edition of a work, specifying the type or category of that first edition.
-
D.
firstCollectedEditionYear
chosen
Indicates the year in which the first collected edition of a work was published or made available.
-
E.
firstEditionPublicationYear
Indicates the year in which an entity’s first edition was originally published.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5726983c8190bca116eeee54241c |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521abea48190b3e758a1f98dd55e |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:02 p.m.