Triple
T14117076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charmin |
E339799
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Angel Soft |
E85150
|
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: Angel Soft | Statement: [Charmin, competitor, Angel Soft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angel Soft Context triple: [Charmin, competitor, Angel Soft]
-
A.
Angel Soft
chosen
Angel Soft is a popular American toilet paper brand known for its balance of softness, strength, and affordability.
-
B.
Angel Blue
Angel Blue is an acclaimed American operatic soprano known for her performances at leading international opera houses and her interpretations of major lyric and spinto roles.
-
C.
Dulcissime
"Dulcissime" is the climactic, high-flying soprano solo that concludes the "Cour d'amours" section of Carl Orff’s cantata Carmina Burana.
-
D.
Angelito
"Angelito" is a popular reggaeton song by Puerto Rican artist Don Omar, known for its emotional narrative and melodic style.
-
E.
Love Angel
Love Angel is a song written by acclaimed R&B songwriter Johntá Austin.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6010a03c81909f5f160f8d1fa8fa |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0baa328819099511dfa7b9666d3 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.