Triple
T17427117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WIN Corporation |
E423767
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
WIN
WIN is a consumer brand owned by WIN Corporation, known for its range of household and personal care products.
|
E1268072
|
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: WIN | Statement: [WIN Corporation, hasBrand, WIN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WIN Context triple: [WIN Corporation, hasBrand, WIN]
-
A.
WIN
WIN (Whip Inflation Now) was a 1970s U.S. public campaign launched under President Gerald Ford aimed at encouraging voluntary measures to combat inflation.
-
B.
WIN
WIN is a leading research institute at the University of Waterloo focused on advancing nanotechnology and its applications across science and engineering.
-
C.
WIN
WIN is the National Rail station code for Winchester railway station in Hampshire, England.
-
D.
Win
"Win" is an R&B song by American singer Brian McKnight, known for its inspirational lyrics and smooth, soulful style.
-
E.
WINS
WINS is a New York City all-news AM radio station known for its continuous news coverage and the slogan "You give us 22 minutes, we'll give you the world."
- 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: WIN Triple: [WIN Corporation, hasBrand, WIN]
Generated description
WIN is a consumer brand owned by WIN Corporation, known for its range of household and personal care products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WIN Target entity description: WIN is a consumer brand owned by WIN Corporation, known for its range of household and personal care products.
-
A.
WIN
WIN (Whip Inflation Now) was a 1970s U.S. public campaign launched under President Gerald Ford aimed at encouraging voluntary measures to combat inflation.
-
B.
WIN
WIN is a leading research institute at the University of Waterloo focused on advancing nanotechnology and its applications across science and engineering.
-
C.
WIN
WIN is the National Rail station code for Winchester railway station in Hampshire, England.
-
D.
Win
"Win" is an R&B song by American singer Brian McKnight, known for its inspirational lyrics and smooth, soulful style.
-
E.
WINS
WINS is a New York City all-news AM radio station known for its continuous news coverage and the slogan "You give us 22 minutes, we'll give you the world."
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fcbf54819091babed0b9b05716 |
completed | April 19, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a80848fc8190b70d3612001cb9c7 |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01aa1065d081909a6f486a9000b191 |
completed | May 11, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01aa905d7c819090b27b0867c4c25d |
completed | May 11, 2026, 10:08 a.m. |
Created at: April 10, 2026, 5:46 a.m.