Triple
T17187318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earache Records |
E417141
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object |
Terrorizer
Terrorizer is an influential American grindcore band known for pioneering the genre with their intense, politically charged sound.
|
E1256016
|
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: Terrorizer | Statement: [Earache Records, hasArtist, Terrorizer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terrorizer Context triple: [Earache Records, hasArtist, Terrorizer]
-
A.
The Terrorizers
The Terrorizers is a film featuring French actor and producer Thomas Langmann in its cast.
-
B.
The Terrorizers
The Terrorizers is a spy novel by Donald Hamilton featuring his hard-edged government assassin Matt Helm in a Cold War-era mission.
-
C.
Traumatizer
Traumatizer is a former name of the band Infusion, an Australian electronic music group known for their progressive house and breakbeat productions.
-
D.
Overkill
Overkill is a Hearthstone keyword mechanic that grants bonus effects when a card deals more damage than necessary to destroy a target.
-
E.
Holy Terror
Holy Terror is a controversial graphic novel by Frank Miller, published by Legendary Comics, that follows a superhero-style vigilante battling Islamic terrorists.
- 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: Terrorizer Triple: [Earache Records, hasArtist, Terrorizer]
Generated description
Terrorizer is an influential American grindcore band known for pioneering the genre with their intense, politically charged sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terrorizer Target entity description: Terrorizer is an influential American grindcore band known for pioneering the genre with their intense, politically charged sound.
-
A.
The Terrorizers
The Terrorizers is a film featuring French actor and producer Thomas Langmann in its cast.
-
B.
The Terrorizers
The Terrorizers is a spy novel by Donald Hamilton featuring his hard-edged government assassin Matt Helm in a Cold War-era mission.
-
C.
Traumatizer
Traumatizer is a former name of the band Infusion, an Australian electronic music group known for their progressive house and breakbeat productions.
-
D.
Overkill
Overkill is a Hearthstone keyword mechanic that grants bonus effects when a card deals more damage than necessary to destroy a target.
-
E.
Holy Terror
Holy Terror is a controversial graphic novel by Frank Miller, published by Legendary Comics, that follows a superhero-style vigilante battling Islamic terrorists.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d96fc588190ad2177d8bb346373 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fce16688190976d3760898ca5d8 |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a01607ee0c881909acd5f0f741e5e15 |
completed | May 11, 2026, 4:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016158b1d081909b62cf73e14b3e78 |
completed | May 11, 2026, 4:55 a.m. |
Created at: April 10, 2026, 5:37 a.m.