Triple
T32605756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Daughter of the Regiment |
E833508
|
entity |
| Predicate | firstItalianVersionTitle |
P48373
|
FINISHED |
| Object | La figlia del reggimento |
E833508
|
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: La figlia del reggimento | Statement: [The Daughter of the Regiment, firstItalianVersionTitle, La figlia del reggimento]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstItalianVersionTitle Context triple: [The Daughter of the Regiment, firstItalianVersionTitle, La figlia del reggimento]
-
A.
titleInItalian
Indicates that one entity is the title of another entity expressed in the Italian language.
-
B.
equivalentTitleInItalian
chosen
Indicates that one entity’s title is an equivalent version of another entity’s title expressed in Italian.
-
C.
firstSeriesTitle
Indicates the title of the first series in which the subject (such as a work, character, or franchise) appears or to which it belongs.
-
D.
revisedItalianVersionTitle
Indicates that the subject has a title corresponding to a revised Italian-language version of the work.
-
E.
firstSeasonTitle
Indicates the title associated with the first season of a series or serialized work.
- F. None of above.
Provenance (4 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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34861488348190bb57fcd0b3443685 |
completed | June 18, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:05 a.m.