Triple
T9059483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Kingsbury |
E217084
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Sam Patch
Sam Patch is an indie rock band best known as a side project of Arcade Fire bassist Tim Kingsbury.
|
E774840
|
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: Sam Patch | Statement: [Tim Kingsbury, associatedAct, Sam Patch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Patch Context triple: [Tim Kingsbury, associatedAct, Sam Patch]
-
A.
Pecos Bill
Pecos Bill is a legendary cowboy folk hero of the American West, popularized in tall tales and later adapted in various media as an exaggerated symbol of frontier bravado and humor.
-
B.
Buster Brown
Buster Brown was an influential American tap dancer and performer known for his smooth style, improvisational brilliance, and mentorship of later tap greats.
-
C.
Peg-Leg Pete
Peg-Leg Pete is a classic Disney cartoon villain, best known as Mickey Mouse’s burly, antagonistic foe and one of the studio’s oldest recurring characters.
-
D.
Jeremiah Day
Jeremiah Day was an American academic who served as the long-time president of Yale College in the early 19th century.
-
E.
Herman Teppis
Herman Teppis is the central figure in Norman Mailer’s novel "The Deer Park," around whom the book’s exploration of postwar American decadence and moral ambiguity revolves.
- 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: Sam Patch Triple: [Tim Kingsbury, associatedAct, Sam Patch]
Generated description
Sam Patch is an indie rock band best known as a side project of Arcade Fire bassist Tim Kingsbury.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Patch Target entity description: Sam Patch is an indie rock band best known as a side project of Arcade Fire bassist Tim Kingsbury.
-
A.
Pecos Bill
Pecos Bill is a legendary cowboy folk hero of the American West, popularized in tall tales and later adapted in various media as an exaggerated symbol of frontier bravado and humor.
-
B.
Buster Brown
Buster Brown was an influential American tap dancer and performer known for his smooth style, improvisational brilliance, and mentorship of later tap greats.
-
C.
Peg-Leg Pete
Peg-Leg Pete is a classic Disney cartoon villain, best known as Mickey Mouse’s burly, antagonistic foe and one of the studio’s oldest recurring characters.
-
D.
Jeremiah Day
Jeremiah Day was an American academic who served as the long-time president of Yale College in the early 19th century.
-
E.
Herman Teppis
Herman Teppis is the central figure in Norman Mailer’s novel "The Deer Park," around whom the book’s exploration of postwar American decadence and moral ambiguity revolves.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7eca6d8c8190b1a11a60d6649f78 |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebeceab88190b1f4bc0bc6a4c389 |
completed | April 3, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69cfed5cce7481908f1d2aec827bee3a |
completed | April 3, 2026, 4:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfee51f2348190825080046650836b |
completed | April 3, 2026, 4:44 p.m. |
Created at: March 30, 2026, 7:10 p.m.