Triple
T4161325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Black |
E91539
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bulldozer
"Bulldozer" is a 1992 studio album by the American indie rock band Big Black, showcasing their abrasive, noise-driven sound and influential role in the underground rock scene.
|
E417079
|
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: Bulldozer | Statement: [Big Black, notableWork, Bulldozer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bulldozer Context triple: [Big Black, notableWork, Bulldozer]
-
A.
Truk
Truk, now known as Chuuk, is a Micronesian island group in the central Pacific Ocean renowned for its sheltered lagoon and numerous World War II shipwrecks popular with divers.
-
B.
Toro
Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
-
C.
Toro
Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
-
D.
Toro
Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
-
E.
Toro
Toro is a historic town in the province of Zamora, Castile and León, Spain, known for its medieval architecture and wine production.
- 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: Bulldozer Triple: [Big Black, notableWork, Bulldozer]
Generated description
"Bulldozer" is a 1992 studio album by the American indie rock band Big Black, showcasing their abrasive, noise-driven sound and influential role in the underground rock scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bulldozer Target entity description: "Bulldozer" is a 1992 studio album by the American indie rock band Big Black, showcasing their abrasive, noise-driven sound and influential role in the underground rock scene.
-
A.
Truk
Truk, now known as Chuuk, is a Micronesian island group in the central Pacific Ocean renowned for its sheltered lagoon and numerous World War II shipwrecks popular with divers.
-
B.
Toro
Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
-
C.
Toro
Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
-
D.
Toro
Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
-
E.
Toro
Toro is a historic town in the province of Zamora, Castile and León, Spain, known for its medieval architecture and wine production.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a6b5f48190bdabf988d23f6e97 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f42f2cc8190ae10ea12273c930a |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b5800a12e48190b184373464930b1e |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b580af3eb88190a89d5827e32293c1 |
completed | March 14, 2026, 3:37 p.m. |
Created at: March 9, 2026, 3:44 p.m.