Triple
T14116301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Procter & Gamble Company |
E339784
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Downy |
E339786
|
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: Downy | Statement: [Procter & Gamble Company, brand, Downy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downy Context triple: [Procter & Gamble Company, brand, Downy]
-
A.
Downy
chosen
Downy is a popular fabric softener and laundry care brand known for its long-lasting freshness and fabric-conditioning products.
-
B.
Downie
Downie is a surname of Scottish origin, often associated with families from the Highlands and various places named Downie in Scotland.
-
C.
Wooly
Wooly is the furry, anthropomorphic mammoth who serves as the official mascot of the Colorado Mammoth professional lacrosse team.
-
D.
Plumer
Plumer is a surname most notably associated with British field marshal Herbert Plumer, a senior military commander during World War I.
-
E.
Chestnut
Chestnut is a surname most notably associated with J. L. Chestnut, a prominent American civil rights attorney and activist.
- 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.