Triple
T13962703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Tabucchi |
E335836
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Notturno indiano |
E335838
|
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: Notturno indiano | Statement: [Antonio Tabucchi, notableWork, Notturno indiano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Notturno indiano Context triple: [Antonio Tabucchi, notableWork, Notturno indiano]
-
A.
Notturno indiano
chosen
Notturno indiano is a short, atmospheric novel by Italian writer Antonio Tabucchi that follows a man's nocturnal, dreamlike journey across India in search of a missing friend.
-
B.
Anokhi Raat
Anokhi Raat is a 1968 Hindi-language drama film noted for its atmospheric black-and-white cinematography and ensemble storytelling.
-
C.
Khamoshi
Khamoshi is a classic 1969 Hindi romantic drama film, acclaimed for its poignant portrayal of love and mental illness and remembered for its evocative black-and-white cinematography.
-
D.
Utsab
Utsab is a Bengali film directed by Rituparno Ghosh that explores complex family dynamics during a festive gathering at an ancestral home.
-
E.
Khamoshiyan
Khamoshiyan is a 2015 Indian romantic horror film known for its atmospheric storytelling and popular music.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7c73d48190b8e02971b5a8ed5f |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d6b2e88190b4d2237413f509ee |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.