Triple
T12774462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea and Sardinia |
E305330
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | Twilight in Italy |
E305331
|
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: Twilight in Italy | Statement: [Sea and Sardinia, relatedWork, Twilight in Italy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twilight in Italy Context triple: [Sea and Sardinia, relatedWork, Twilight in Italy]
-
A.
Twilight in Italy
chosen
"Twilight in Italy" is a 1916 travel book by D. H. Lawrence that blends vivid descriptions of the Italian landscape with personal reflections and cultural observations.
-
B.
A Song of Italy
A Song of Italy is a politically charged poem by Algernon Charles Swinburne celebrating Italian unification and republican ideals.
-
C.
The Italian Woman
The Italian Woman is a 1915 American silent drama film directed by Reginald Barker and starring Clara Williams.
-
D.
The Italian Dragon
The Italian Dragon is the ring nickname of Joe Calzaghe, the undefeated Welsh former world champion boxer of Italian descent.
-
E.
My House in Umbria
My House in Umbria is a 2003 television drama film, based on William Trevor’s novel, about a British romance novelist in Italy who shelters survivors after a terrorist attack.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df6b3c88190b0bbe70de8ddcbf3 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684fee60c81909245d4d70c9338c0 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:29 p.m.