Triple
T9058875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What About Now |
E217070
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Amen |
E240142
|
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: Amen | Statement: [What About Now, hasSingle, Amen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amen Context triple: [What About Now, hasSingle, Amen]
-
A.
Amen
"Amen" is an American sitcom that aired from 1986 to 1991, centered on a deacon and his church community in Philadelphia, and is best known for starring Sherman Hemsley.
-
B.
Amen
chosen
"Amen" is a song featured on Beyoncé's genre-blending 2024 album *Cowboy Carter*.
-
C.
Amen.
"Amen." is a 2002 political drama film directed by Costa-Gavras that examines the Vatican's and international community's response to the Holocaust during World War II.
-
D.
Great Amen
The Great Amen is the congregational acclamation that solemnly concludes the Eucharistic Prayer in many Christian liturgies, affirming the prayer and praise just offered to God.
-
E.
Benediction
Benediction is a musical composition by American composer John Stevens, known for its lyrical, reflective character and frequent performance in brass and wind repertoire.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7ec924f481908ca2eac98c68a41d |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0178be518819080bd6c8cf0a737e8 |
completed | April 3, 2026, 7:39 p.m. |
Created at: March 30, 2026, 7:10 p.m.