Triple
T38599348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women Are Like That |
E934166
|
entity |
| Predicate | referredWorkOriginalTitle |
P6930
|
FINISHED |
| Object | Così fan tutte, ossia La scuola degli amanti |
—
|
NE NERFINISHED |
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: Così fan tutte, ossia La scuola degli amanti | Statement: [Women Are Like That, referredWorkOriginalTitle, Così fan tutte, ossia La scuola degli amanti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredWorkOriginalTitle Context triple: [Women Are Like That, referredWorkOriginalTitle, Così fan tutte, ossia La scuola degli amanti]
-
A.
fromWorkOriginalTitle
Indicates that an entity originates from or is based on a work whose original title is the one specified.
-
B.
workTitleOriginal
Indicates that one entity is the original title or name under which a work was first created, published, or released.
-
C.
originalTitleOfWork
chosen
Indicates that one work is the original title under which another work was first created, published, or released.
-
D.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
E.
hasTitleInOriginalWork
Indicates that an entity holds a specific title or designation within its original work or source context.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff16775a9881909d26dbc1f0ef3e1c |
completed | May 9, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_69ff158e61708190a1c581d0d306cfce |
completed | May 9, 2026, 11:07 a.m. |
Created at: May 3, 2026, 4:32 p.m.