Triple
T30267033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chocolate Soldier |
E769676
|
entity |
| Predicate | hasEnglishLibrettoAdapter |
P60682
|
FINISHED |
| Object | Stanford Daly |
—
|
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: Stanford Daly | Statement: [The Chocolate Soldier, hasEnglishLibrettoAdapter, Stanford Daly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnglishLibrettoAdapter Context triple: [The Chocolate Soldier, hasEnglishLibrettoAdapter, Stanford Daly]
-
A.
hasEnglishLyricAdapter
chosen
Indicates that an entity has a specific person or agent responsible for adapting its lyrics into English.
-
B.
originalLanguageOfLibretto
Indicates the language in which a libretto was originally written for a given work.
-
C.
includesLibretto
Indicates that one entity (typically a musical or operatic work or publication) contains or is accompanied by the full text/libretto of another work.
-
D.
librettoAdaptationToLanguage
Indicates that a libretto has been adapted or translated into a specific target language.
-
E.
hasLibrettoPublication
Indicates that a work is associated with a specific published version of its libretto.
- 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 29, 2026, 7:43 p.m.