Triple
T5144153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Too Tough to Die |
E116030
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Durango 95
Durango 95 is a song by the Ramones, featured as an instrumental track on their 1984 album "Too Tough to Die."
|
E497084
|
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: Durango 95 | Statement: [Too Tough to Die, hasPart, Durango 95]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durango 95 Context triple: [Too Tough to Die, hasPart, Durango 95]
-
A.
Yukon Striker
Yukon Striker is a record-breaking dive roller coaster at Canada's Wonderland known for its 90-degree drop, underwater tunnel, and high speeds.
-
B.
Durango the Maverick
Durango the Maverick is the costumed bull mascot representing the University of Nebraska Omaha’s athletic teams and school spirit.
-
C.
Bitchin Bajas
Bitchin Bajas is an American experimental music trio known for their immersive, synth-driven ambient and minimalist compositions.
-
D.
El Matador
El Matador is the famous nickname of Mexican former football striker Luis Hernández, known for his prolific goal-scoring and standout performances in the late 1990s.
-
E.
Silverado
Silverado is a 1985 ensemble Western film directed and co-written by Lawrence Kasdan, known for revitalizing the classic Hollywood Western with a modern, adventurous tone.
- 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: Durango 95 Triple: [Too Tough to Die, hasPart, Durango 95]
Generated description
Durango 95 is a song by the Ramones, featured as an instrumental track on their 1984 album "Too Tough to Die."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Durango 95 Target entity description: Durango 95 is a song by the Ramones, featured as an instrumental track on their 1984 album "Too Tough to Die."
-
A.
Yukon Striker
Yukon Striker is a record-breaking dive roller coaster at Canada's Wonderland known for its 90-degree drop, underwater tunnel, and high speeds.
-
B.
Durango the Maverick
Durango the Maverick is the costumed bull mascot representing the University of Nebraska Omaha’s athletic teams and school spirit.
-
C.
Bitchin Bajas
Bitchin Bajas is an American experimental music trio known for their immersive, synth-driven ambient and minimalist compositions.
-
D.
El Matador
El Matador is the famous nickname of Mexican former football striker Luis Hernández, known for his prolific goal-scoring and standout performances in the late 1990s.
-
E.
Silverado
Silverado is a 1985 ensemble Western film directed and co-written by Lawrence Kasdan, known for revitalizing the classic Hollywood Western with a modern, adventurous tone.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78aaeb1881909e1b416ea37a7b6d |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becff0df5881909d247dd3db49f6c2 |
completed | March 21, 2026, 5:05 p.m. |
| NEDg | Description generation | batch_69bed05af0808190968e38f37b3bfad6 |
completed | March 21, 2026, 5:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed103a1088190abca6e7d1fbd9c2b |
completed | March 21, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:43 p.m.