Triple
T22008494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wanted |
E543511
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Warzone
"Warzone" is a song by British-Irish boy band The Wanted, known for its emotive lyrics and pop ballad style.
|
E1514386
|
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: Warzone | Statement: [The Wanted, notableWork, Warzone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warzone Context triple: [The Wanted, notableWork, Warzone]
-
A.
Warzone
Warzone was a New York City hardcore punk band known for its influential role in the late-1980s hardcore scene and its association with the straight edge and skinhead subcultures.
-
B.
The Warzone
The Warzone is a hip hop group associated with the West Coast rap scene that includes rapper Goldie Loc among its members.
-
C.
The War Zone
The War Zone is a 1999 British drama film, adapted from Alexander Stuart’s novel, that starkly explores familial abuse and trauma.
-
D.
In a Warzone
"In a Warzone" is a 2013 studio album by the American punk rock band Transplants, known for its aggressive blend of punk, hip hop, and hardcore influences.
-
E.
Battlelines
Battlelines is a political memoir and policy manifesto by former Australian Prime Minister Tony Abbott, outlining his ideological views and vision for Australia's future.
- 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: Warzone Triple: [The Wanted, notableWork, Warzone]
Generated description
"Warzone" is a song by British-Irish boy band The Wanted, known for its emotive lyrics and pop ballad style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warzone Target entity description: "Warzone" is a song by British-Irish boy band The Wanted, known for its emotive lyrics and pop ballad style.
-
A.
Warzone
Warzone was a New York City hardcore punk band known for its influential role in the late-1980s hardcore scene and its association with the straight edge and skinhead subcultures.
-
B.
The Warzone
The Warzone is a hip hop group associated with the West Coast rap scene that includes rapper Goldie Loc among its members.
-
C.
The War Zone
The War Zone is a 1999 British drama film, adapted from Alexander Stuart’s novel, that starkly explores familial abuse and trauma.
-
D.
In a Warzone
"In a Warzone" is a 2013 studio album by the American punk rock band Transplants, known for its aggressive blend of punk, hip hop, and hardcore influences.
-
E.
Battlelines
Battlelines is a political memoir and policy manifesto by former Australian Prime Minister Tony Abbott, outlining his ideological views and vision for Australia's future.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a2aebc8190951ee0bf9fd8e16d |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7376d19481909aa40216cf57c568 |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a74e81da881908c73d864258dcdd5 |
completed | May 18, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a75cbb2408190b058713432b048a2 |
completed | May 18, 2026, 2:13 a.m. |
Created at: April 16, 2026, 8:21 p.m.