Triple
T27763040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Drewe |
E701523
|
entity |
| Predicate | writesLibrettosFor |
P59320
|
FINISHED |
| Object | stage musicals |
—
|
LITERAL 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: stage musicals | Statement: [Anthony Drewe, writesLibrettosFor, stage musicals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writesLibrettosFor Context triple: [Anthony Drewe, writesLibrettosFor, stage musicals]
-
A.
librettistOfWorkAppearingIn
Indicates that a person is the librettist responsible for the text of a work that appears within a larger composite work or collection.
-
B.
coAuthorOfLibrettoWith
Indicates that two or more individuals collaborated in writing the same libretto.
-
C.
librettoBy
chosen
Indicates that a work’s libretto (the text of an opera or similar vocal work) was written by a particular person.
-
D.
writesLyricsIn
Indicates that an entity creates or composes song lyrics in a specified language or writing system.
-
E.
librettistOfOpera
Indicates that one entity is the librettist who wrote the text (libretto) for the specified opera.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63766dcc48190a916106fbf8ad619 |
completed | May 2, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:28 p.m.