Triple
T12893003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AM/FM |
E308414
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “Cherish” |
E502626
|
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: “Cherish” | Statement: [AM/FM, hasPart, “Cherish”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Cherish” Context triple: [AM/FM, hasPart, “Cherish”]
-
A.
Cherish
chosen
Cherish is the 1972 debut solo album by American singer and teen idol David Cassidy, featuring pop songs that capitalized on his Partridge Family fame.
-
B.
Cherish the Day
Cherish the Day is an anthology romantic drama television series created by Ava DuVernay that explores the evolution of Black love through intimate, character-driven storytelling.
-
C.
"Sweet Love"
"Sweet Love" is a smooth, soulful R&B ballad by Anita Baker that became one of her signature hits in the mid-1980s.
-
D.
“My Love”
“My Love” is a song by the British rock band Green Man.
-
E.
“True Love”
“True Love” is a Grammy-winning album by Toots and the Maytals featuring re-recorded versions of their classic reggae songs in collaboration with various guest artists.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971484aa08190a8adfafabe600903 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55be3288190b2bc0bd197431db3 |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:40 p.m.