Triple
T17246946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grazia Deledda |
E418650
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Grazia |
E974312
|
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: Grazia | Statement: [Grazia Deledda, givenName, Grazia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grazia Context triple: [Grazia Deledda, givenName, Grazia]
-
A.
Grazia
chosen
Grazia is an Italian feminine given name, equivalent to "Grace," commonly used in Italy and other Italian-speaking communities.
-
B.
Elle magazine
Elle magazine is a globally recognized women’s fashion and lifestyle publication known for its coverage of style, beauty, culture, and celebrity.
-
C.
Glamour magazine
Glamour magazine is a long-running women’s lifestyle and fashion publication known for its coverage of beauty, culture, and influential women.
-
D.
Harper’s Bazaar
Harper’s Bazaar is a long-running, internationally renowned fashion and lifestyle magazine known for its high-end photography, trendsetting editorials, and coverage of luxury culture.
-
E.
Marie Claire
Marie Claire is an international women’s magazine known for combining fashion and beauty coverage with in-depth features on culture, politics, and social issues.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e24a4508190bbcc70c36b2b9c13 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f744d8819099f10bbba364586d |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.