Triple
T19398402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diapers.com |
E485250
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | Quidsi Inc. |
—
|
NE NERFINISHED |
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: Quidsi Inc. | Statement: [Diapers.com, brandOf, Quidsi Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quidsi Inc. Context triple: [Diapers.com, brandOf, Quidsi Inc.]
-
A.
Quidsi Inc.
chosen
Quidsi Inc. was an e-commerce company best known for operating specialized online retail sites for everyday essentials, including the popular baby-products retailer Diapers.com.
-
B.
Quark, Inc.
Quark, Inc. is a software company best known for creating the professional desktop publishing application QuarkXPress.
-
C.
QD3 Entertainment
QD3 Entertainment is a multimedia production company known for creating music, film, and television content, particularly in hip-hop and urban culture.
-
D.
Quasar Technologies
Quasar Technologies is the company that originally developed the Qt application development framework, widely used for creating cross-platform software.
-
E.
Obvious Corporation
Obvious Corporation was the early holding company and development vehicle created by Twitter’s founders that incubated and spun out Twitter as an independent company.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62574edd08190b5456108d5e3907e |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.