Triple
T19550583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Against the Current |
E489187
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object |
Weapon
"Weapon" is a pop-rock song by the American band Against the Current, known for its energetic sound and emotionally charged lyrics.
|
E1382573
|
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: Weapon | Statement: [Against the Current, hasSong, Weapon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weapon Context triple: [Against the Current, hasSong, Weapon]
-
A.
Weapon I
Weapon I is a Marvel Comics supersoldier project best known for creating Captain America as its primary subject.
-
B.
Weapon II
Weapon II is a Marvel Comics super-soldier project iteration within the broader Weapon Plus Program, associated with early experimental enhancements predating Weapon X.
-
C.
Dagger
Dagger is a compile-time dependency injection framework for Java and Android that generates efficient, type-safe code to manage object creation and wiring.
-
D.
Dagger
The Dagger is a Soviet-designed short-range ballistic missile system known for its high speed and tactical strike capabilities.
-
E.
Life gun
A Life gun is a pattern in Conway’s Game of Life that periodically generates an endless stream of moving configurations called gliders.
- 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: Weapon Triple: [Against the Current, hasSong, Weapon]
Generated description
"Weapon" is a pop-rock song by the American band Against the Current, known for its energetic sound and emotionally charged lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weapon Target entity description: "Weapon" is a pop-rock song by the American band Against the Current, known for its energetic sound and emotionally charged lyrics.
-
A.
Weapon I
Weapon I is a Marvel Comics supersoldier project best known for creating Captain America as its primary subject.
-
B.
Weapon II
Weapon II is a Marvel Comics super-soldier project iteration within the broader Weapon Plus Program, associated with early experimental enhancements predating Weapon X.
-
C.
Dagger
Dagger is a compile-time dependency injection framework for Java and Android that generates efficient, type-safe code to manage object creation and wiring.
-
D.
Dagger
The Dagger is a Soviet-designed short-range ballistic missile system known for its high speed and tactical strike capabilities.
-
E.
Life gun
A Life gun is a pattern in Conway’s Game of Life that periodically generates an endless stream of moving configurations called gliders.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2feed48190ad49f64980dc885f |
completed | April 20, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e8c84b88190be1790514c9c5481 |
completed | May 15, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_6a074f5df2c0819096c05a61b03d5145 |
completed | May 15, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07550147048190937b71f7f4d116cd |
completed | May 15, 2026, 5:16 p.m. |
Created at: April 10, 2026, 1:41 p.m.