Triple
T19993911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Kelly |
E494133
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object |
Terror Fabulous
Terror Fabulous is a Jamaican dancehall deejay best known for his 1990s hits like "Action" and his influential work in the genre’s golden era.
|
E1405597
|
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: Terror Fabulous | Statement: [Dave Kelly, collaboratedWith, Terror Fabulous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terror Fabulous Context triple: [Dave Kelly, collaboratedWith, Terror Fabulous]
-
A.
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.
-
B.
The Terrorizers
The Terrorizers is a film featuring French actor and producer Thomas Langmann in its cast.
-
C.
Terror-Billy
Terror-Billy is the fearsome resistance hero persona of B.J. Blazkowicz, the Nazi-killing protagonist of the Wolfenstein video game series.
-
D.
Terrorizer
Terrorizer is an influential American grindcore band known for pioneering the genre with their intense, politically charged sound.
-
E.
Terror Drome
Terror Drome is Cobra’s heavily fortified, futuristic military command base and launch facility from the G.I. Joe franchise.
- 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: Terror Fabulous Triple: [Dave Kelly, collaboratedWith, Terror Fabulous]
Generated description
Terror Fabulous is a Jamaican dancehall deejay best known for his 1990s hits like "Action" and his influential work in the genre’s golden era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terror Fabulous Target entity description: Terror Fabulous is a Jamaican dancehall deejay best known for his 1990s hits like "Action" and his influential work in the genre’s golden era.
-
A.
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.
-
B.
The Terrorizers
The Terrorizers is a film featuring French actor and producer Thomas Langmann in its cast.
-
C.
Terror-Billy
Terror-Billy is the fearsome resistance hero persona of B.J. Blazkowicz, the Nazi-killing protagonist of the Wolfenstein video game series.
-
D.
Terrorizer
Terrorizer is an influential American grindcore band known for pioneering the genre with their intense, politically charged sound.
-
E.
Terror Drome
Terror Drome is Cobra’s heavily fortified, futuristic military command base and launch facility from the G.I. Joe franchise.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe2036c8190b9f313215ad44e87 |
completed | April 20, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0805061b248190ae4ac97f28203a4f |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a0806b68a448190813cef122c3f2412 |
completed | May 16, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080750f4b08190af91aa33debf96d0 |
completed | May 16, 2026, 5:57 a.m. |
Created at: April 11, 2026, 3:31 p.m.