Triple
T8267172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WINS (AM) |
E193329
|
entity |
| Predicate | callSign |
P1565
|
FINISHED |
| Object |
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."
|
E722631
|
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: WINS | Statement: [WINS (AM), callSign, WINS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WINS Context triple: [WINS (AM), callSign, WINS]
-
A.
WIN
WIN is a leading research institute at the University of Waterloo focused on advancing nanotechnology and its applications across science and engineering.
-
B.
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.
-
C.
Win
"Win" is an R&B song by American singer Brian McKnight, known for its inspirational lyrics and smooth, soulful style.
-
D.
WiN
WiN was a Polish anti-communist underground organization formed after World War II to resist Soviet domination and the communist regime in Poland.
-
E.
Winning
"Winning" is a popular rock song by Santana, known for its uplifting lyrics and melodic guitar-driven sound.
- 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: WINS Triple: [WINS (AM), callSign, WINS]
Generated description
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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WINS Target entity description: 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."
-
A.
WIN
WIN is a leading research institute at the University of Waterloo focused on advancing nanotechnology and its applications across science and engineering.
-
B.
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.
-
C.
Win
"Win" is an R&B song by American singer Brian McKnight, known for its inspirational lyrics and smooth, soulful style.
-
D.
WiN
WiN was a Polish anti-communist underground organization formed after World War II to resist Soviet domination and the communist regime in Poland.
-
E.
Winning
"Winning" is a popular rock song by Santana, known for its uplifting lyrics and melodic guitar-driven sound.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794e6880819084dff5df42332835 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6827e44c81909be6e426ab9226c7 |
completed | April 1, 2026, 6:47 p.m. |
| NEDg | Description generation | batch_69cd6d4fa17481909f28ad7eb9bceb42 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7df568788190a5a219baa65a6a19 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:50 p.m.