Triple
T150398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Dylan |
E3416
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Hurricane
"Hurricane" is a protest song by Bob Dylan that narrates and condemns the wrongful imprisonment of boxer Rubin "Hurricane" Carter.
|
E18062
|
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: Hurricane | Statement: [Bob Dylan, notableSong, Hurricane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurricane Context triple: [Bob Dylan, notableSong, Hurricane]
-
A.
Hurricane
The Hurricane is a British single-seat fighter aircraft that played a crucial role for the Royal Air Force during World War II, particularly in the Battle of Britain.
-
B.
Typhoon FGR4
The Typhoon FGR4 is a multirole variant of the Eurofighter Typhoon used by the Royal Air Force for air-to-air and air-to-ground combat operations.
-
C.
Frances
Frances is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
D.
Eureka
Eureka is a historic coastal city in Northern California known for its Victorian architecture, maritime heritage, and role as a regional cultural and economic center.
-
E.
San Juan
San Juan is the largest city and main cultural, economic, and tourism hub of Puerto Rico, known for its historic colonial architecture and vibrant coastal setting.
- 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: Hurricane Triple: [Bob Dylan, notableSong, Hurricane]
Generated description
"Hurricane" is a protest song by Bob Dylan that narrates and condemns the wrongful imprisonment of boxer Rubin "Hurricane" Carter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hurricane Target entity description: "Hurricane" is a protest song by Bob Dylan that narrates and condemns the wrongful imprisonment of boxer Rubin "Hurricane" Carter.
-
A.
Hurricane
The Hurricane is a British single-seat fighter aircraft that played a crucial role for the Royal Air Force during World War II, particularly in the Battle of Britain.
-
B.
Typhoon FGR4
The Typhoon FGR4 is a multirole variant of the Eurofighter Typhoon used by the Royal Air Force for air-to-air and air-to-ground combat operations.
-
C.
Frances
Frances is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
D.
Eureka
Eureka is a historic coastal city in Northern California known for its Victorian architecture, maritime heritage, and role as a regional cultural and economic center.
-
E.
San Juan
San Juan is the largest city and main cultural, economic, and tourism hub of Puerto Rico, known for its historic colonial architecture and vibrant coastal setting.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2580dda148190a522e0ac276d5f33 |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c52f29d88190b899f1eaf3012a4b |
completed | Feb. 28, 2026, 10:36 a.m. |
| NEDg | Description generation | batch_69a2c5dd9db4819097b1163bfa25333b |
completed | Feb. 28, 2026, 10:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2c6e1052c819085f643bfbfcf1076 |
completed | Feb. 28, 2026, 10:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.