Triple
T14484736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison |
E359196
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Madtown
Madtown is a popular nickname for Madison, Wisconsin, known for its vibrant college-town atmosphere, progressive politics, and lakeside setting.
|
E1101042
|
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: Madtown | Statement: [Madison, hasNickname, Madtown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madtown Context triple: [Madison, hasNickname, Madtown]
-
A.
Red Town
Red Town is a historical region associated with the settlement of Krasnaya Sloboda, known for its cultural and regional significance.
-
B.
In the Hood
"In the Hood" is a gritty hip-hop track by Wu-Tang Clan that reflects street life themes and appears on their album "Iron Flag."
-
C.
Boogie Down
"Boogie Down" is a 1983 R&B/disco single by former Temptations singer Eddie Kendricks that became one of his best-known solo hits.
-
D.
Boogie Down
Boogie Down is a soul and R&B song by American singer-songwriter and producer Frank Wilson, recognized as one of his notable recordings.
-
E.
Streets of Baltimore
"Streets of Baltimore" is a classic country song, popularized by artists like Bobby Bare and Gram Parsons, that tells a poignant story of love, sacrifice, and disillusionment in the big city.
- 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: Madtown Triple: [Madison, hasNickname, Madtown]
Generated description
Madtown is a popular nickname for Madison, Wisconsin, known for its vibrant college-town atmosphere, progressive politics, and lakeside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madtown Target entity description: Madtown is a popular nickname for Madison, Wisconsin, known for its vibrant college-town atmosphere, progressive politics, and lakeside setting.
-
A.
Red Town
Red Town is a historical region associated with the settlement of Krasnaya Sloboda, known for its cultural and regional significance.
-
B.
In the Hood
"In the Hood" is a gritty hip-hop track by Wu-Tang Clan that reflects street life themes and appears on their album "Iron Flag."
-
C.
Boogie Down
"Boogie Down" is a 1983 R&B/disco single by former Temptations singer Eddie Kendricks that became one of his best-known solo hits.
-
D.
Boogie Down
Boogie Down is a soul and R&B song by American singer-songwriter and producer Frank Wilson, recognized as one of his notable recordings.
-
E.
Streets of Baltimore
"Streets of Baltimore" is a classic country song, popularized by artists like Bobby Bare and Gram Parsons, that tells a poignant story of love, sacrifice, and disillusionment in the big city.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924d7f4c8190b1f62b5ffe1ff649 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a73cf48190811d6de182e891c4 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd66d3f2448190b8926c479ce95e83 |
completed | May 8, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd67b5cd2c8190871d22ebdc64dd11 |
completed | May 8, 2026, 4:33 a.m. |
Created at: April 10, 2026, 1:20 a.m.