Triple
T4135802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel Soft |
E85150
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Quilted Northern |
E85151
|
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: Quilted Northern | Statement: [Angel Soft, hasCompetitor, Quilted Northern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quilted Northern Context triple: [Angel Soft, hasCompetitor, Quilted Northern]
-
A.
Quilted Northern
chosen
Quilted Northern is a well-known American toilet paper brand recognized for its softness, comfort, and quilted texture.
-
B.
Cobija
Cobija is a small Bolivian city in the Amazon rainforest near the border with Brazil, known as an important regional center for trade and rubber production.
-
C.
Dot Cotton
Dot Cotton is a long-running, iconic character from the British soap opera EastEnders, known for her devout Christian faith, chain-smoking habit, and moral yet often troubled presence in Albert Square.
-
D.
Shawl Nisi
Shawl Nisi is a recipient of the Solstice Award, an honor recognizing significant contributions to the science fiction and fantasy community.
-
E.
Comforter
The Comforter is a title for the Holy Spirit, emphasizing His role in consoling, guiding, and strengthening believers.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0233009881909333375d597b58b6 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c75e5c8190acc4ee72cb574432 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.