Triple
T10393676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Cetera |
E244950
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Amy Grant |
E221970
|
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: Amy Grant | Statement: [Peter Cetera, associatedAct, Amy Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Grant Context triple: [Peter Cetera, associatedAct, Amy Grant]
-
A.
Amy Grant
chosen
Amy Grant is an American singer-songwriter widely regarded as a pioneer of contemporary Christian music who successfully crossed over into mainstream pop.
-
B.
Natalie Grant
Natalie Grant is a Grammy-nominated contemporary Christian music singer and songwriter known for her powerful vocals and inspirational worship songs.
-
C.
Crystal Gayle
Crystal Gayle is an American country music singer best known for her smooth vocal style and the crossover hit "Don't It Make My Brown Eyes Blue."
-
D.
Nichole Nordeman
Nichole Nordeman is a contemporary Christian music singer-songwriter known for her introspective lyrics and piano-driven worship songs.
-
E.
Taylor Dayne
Taylor Dayne is an American pop and dance music singer best known for her powerful vocals and late-1980s hits like "Tell It to My Heart" and "Love Will Lead You Back."
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b795fc8190aa50ce3c7360ff83 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795c8271c81908a6b67822050c06d |
completed | April 9, 2026, 12:04 p.m. |
Created at: April 6, 2026, 12:06 p.m.