Triple
T23258602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Requiem |
E581940
|
entity |
| Predicate | hasNotableText |
P7250
|
FINISHED |
| Object | Libera me |
—
|
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: Libera me | Statement: [Requiem, hasNotableText, Libera me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Libera me Context triple: [Requiem, hasNotableText, Libera me]
-
A.
Libera me
chosen
"Libera me" is the dramatic final movement of Giuseppe Verdi’s Messa da Requiem, featuring an intense soprano solo and powerful choral writing that plead for deliverance on Judgment Day.
-
B.
Release Me
"Release Me" is a 1967 pop ballad by Engelbert Humperdinck that became an international hit and signature song, helping to launch him to worldwide fame.
-
C.
Libera
Libera is a volunteer-run, community-focused IRC network that hosts real-time discussions for free and open-source software projects and related communities.
-
D.
Libera
Libera is an ancient Roman goddess associated with fertility, wine, and freedom, often worshipped alongside Liber and Ceres.
-
E.
Liberato
Liberato is an American actress known for her roles in films such as "Trust," "The Best of Me," and the series "Light as a Feather."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c710c48190aff03d210642a043 |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.