Triple
T12199574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Powerage |
E290676
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object |
Kicked in the Teeth
"Kicked in the Teeth" is a hard-driving rock song by AC/DC, known for its aggressive riffs and raw vocal delivery, featured on their 1978 album *Powerage*.
|
E971393
|
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: Kicked in the Teeth | Statement: [Powerage, notableTrack, Kicked in the Teeth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kicked in the Teeth Context triple: [Powerage, notableTrack, Kicked in the Teeth]
-
A.
Kick in the Teeth
"Kick in the Teeth" is a hard-hitting rock song by American band Papa Roach, known for its aggressive energy and themes of resilience.
-
B.
A Kick in the Heart
"A Kick in the Heart" is a song featured on the album *Cafe Racers* by Kim Carnes.
-
C.
Tooth and Nail
"Tooth and Nail" is a crime novel by Scottish author Ian Rankin, featuring his recurring detective John Rebus as he investigates a serial killer in London.
-
D.
The Kick
"The Kick" is a popular Afrobeats track by Nigerian singer Wande Coal, known for its catchy rhythm and dance-floor appeal.
-
E.
Chewed Up
Chewed Up is a stand-up comedy special by Louis C.K. known for its dark, candid humor and incisive social commentary.
- 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: Kicked in the Teeth Triple: [Powerage, notableTrack, Kicked in the Teeth]
Generated description
"Kicked in the Teeth" is a hard-driving rock song by AC/DC, known for its aggressive riffs and raw vocal delivery, featured on their 1978 album *Powerage*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kicked in the Teeth Target entity description: "Kicked in the Teeth" is a hard-driving rock song by AC/DC, known for its aggressive riffs and raw vocal delivery, featured on their 1978 album *Powerage*.
-
A.
Kick in the Teeth
"Kick in the Teeth" is a hard-hitting rock song by American band Papa Roach, known for its aggressive energy and themes of resilience.
-
B.
A Kick in the Heart
"A Kick in the Heart" is a song featured on the album *Cafe Racers* by Kim Carnes.
-
C.
Tooth and Nail
"Tooth and Nail" is a crime novel by Scottish author Ian Rankin, featuring his recurring detective John Rebus as he investigates a serial killer in London.
-
D.
The Kick
"The Kick" is a popular Afrobeats track by Nigerian singer Wande Coal, known for its catchy rhythm and dance-floor appeal.
-
E.
Chewed Up
Chewed Up is a stand-up comedy special by Louis C.K. known for its dark, candid humor and incisive social commentary.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c79f6cc8190ae8163d2016078c0 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a933fc481909f9e062365bf05fc |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bdbee288190991b08ae685bb401 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f610b8efe88190907e84247d9e8456 |
completed | May 2, 2026, 2:56 p.m. |
Created at: April 8, 2026, 9:50 p.m.