Triple
T29989293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crocifissione di sant'Andrea |
E761826
|
entity |
| Predicate | titoloAlternativo |
P110696
|
FINISHED |
| Object | Martirio di sant'Andrea |
—
|
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: Martirio di sant'Andrea | Statement: [Crocifissione di sant'Andrea, titoloAlternativo, Martirio di sant'Andrea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titoloAlternativo Context triple: [Crocifissione di sant'Andrea, titoloAlternativo, Martirio di sant'Andrea]
-
A.
alternateInterpretationOfTitle
Indicates that one title is an alternative interpretation or reading of another title, reflecting a different way the original title can be understood.
-
B.
haveAlternativeTitle
chosen
Indicates that an entity is known by one or more alternative titles or names in addition to its primary title.
-
C.
alternateWorkingTitle
Indicates that one title serves as an alternative working title for the same work or project as another title.
-
D.
filmAlternateTitle
Indicates that a film is known or released under an alternative title.
-
E.
hasAlternativeEditionTitle
Indicates that an entity has a different or variant title used in another edition of the same work.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6791985c08190815809bcc3258be8 |
completed | May 2, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:37 p.m.