Triple
T13612707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President's Choice |
E325232
|
entity |
| Predicate | hasSubBrand |
P6092
|
FINISHED |
| Object |
PC Free From
PC Free From is a President's Choice food brand line focused on products made without certain artificial ingredients and additives.
|
E1051131
|
NE FINISHED |
How this triple was built (4 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: PC Free From | Statement: [President's Choice, hasSubBrand, PC Free From]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PC Free From Context triple: [President's Choice, hasSubBrand, PC Free From]
-
A.
MAC Freedom
MAC Freedom is an NCAA Division III athletic conference grouping of colleges and universities that competes as one of the two primary subdivisions of the Middle Atlantic Conference.
-
B.
For Free
"For Free" is a reflective folk song by Joni Mitchell that contrasts commercial success with the purity of a street musician’s art.
-
C.
VirtualFree
VirtualFree is a Windows API function used to release or decommit previously allocated virtual memory in a process's address space.
-
D.
Free’s
"Free’s" is a song featured on the album *Apocalypse*.
-
E.
Free
"Free" is a soulful R&B single by British singer Estelle that helped establish her early career and showcase her distinctive vocal style.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PC Free From Triple: [President's Choice, hasSubBrand, PC Free From]
Generated description
PC Free From is a President's Choice food brand line focused on products made without certain artificial ingredients and additives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PC Free From Target entity description: PC Free From is a President's Choice food brand line focused on products made without certain artificial ingredients and additives.
-
A.
MAC Freedom
MAC Freedom is an NCAA Division III athletic conference grouping of colleges and universities that competes as one of the two primary subdivisions of the Middle Atlantic Conference.
-
B.
For Free
"For Free" is a reflective folk song by Joni Mitchell that contrasts commercial success with the purity of a street musician’s art.
-
C.
VirtualFree
VirtualFree is a Windows API function used to release or decommit previously allocated virtual memory in a process's address space.
-
D.
Free’s
"Free’s" is a song featured on the album *Apocalypse*.
-
E.
Free
"Free" is a soulful R&B single by British singer Estelle that helped establish her early career and showcase her distinctive vocal style.
- F. None of above. chosen
Provenance (5 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0abe1208190a1e0a32dc141d836 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9cbc388190972e949324144d2f |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f78058d4c88190be75e0a38cdc20da |
completed | May 3, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78157b9cc8190a1855cb9715aa7d5 |
completed | May 3, 2026, 5:09 p.m. |
Created at: April 9, 2026, 9:50 p.m.