Triple
T38599467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiordiligi |
E934168
|
entity |
| Predicate | operaEnglishTitle |
P206572
|
FINISHED |
| Object | Thus Do They All, or The School for Lovers |
E1421986
|
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: Thus Do They All, or The School for Lovers | Statement: [Fiordiligi, operaEnglishTitle, Thus Do They All, or The School for Lovers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaEnglishTitle Context triple: [Fiordiligi, operaEnglishTitle, Thus Do They All, or The School for Lovers]
-
A.
operaOriginalTitle
Indicates the original title under which an opera was first created or presented, before any translations or adaptations.
-
B.
operaFinalTitle
Indicates that the object is the final or definitive title assigned to the opera referenced by the subject.
-
C.
operaTitleCharacter
Indicates that a character is the title (namesake) character of a given opera.
-
D.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
E.
operaTypeOfWorkAppearsIn
Indicates that a particular type of work (e.g., aria, overture) occurs within or is featured in a specific opera.
- F. None of above. chosen
Provenance (5 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_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41eaa61cb48190b8e72d3db9cb32ad |
completed | June 29, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c85e308819083dd67b96f457659 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:32 p.m.