Triple
T17360604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadmau5 |
E422056
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Professional Griefers |
—
|
NE ONDG |
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: Professional Griefers | Statement: [Deadmau5, notableWork, Professional Griefers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Professional Griefers Context triple: [Deadmau5, notableWork, Professional Griefers]
-
A.
Grafters
Grafters is a British television drama series centered on the lives and relationships of two builder brothers working on high-end renovation projects.
-
B.
Cop Hater
Cop Hater is a 1956 crime novel by Evan Hunter that launched the long-running 87th Precinct police procedural series.
-
C.
Wrongdoers
"Wrongdoers" is a 2013 studio album by American metalcore band Norma Jean, noted for its aggressive sound and dynamic, experimental songwriting.
-
D.
The Freak
The Freak is the nickname of Tim Lincecum, a former San Francisco Giants pitcher known for his dominant performances, unorthodox delivery, and multiple Cy Young Awards.
-
E.
Scum
Scum is a gritty 1979 British crime drama film depicting the brutal realities of life inside a borstal (youth detention center), noted for its stark violence and Ray Winstone’s powerful performance.
- 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: Professional Griefers Triple: [Deadmau5, notableWork, Professional Griefers]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Professional Griefers Target entity description: "Professional Griefers" is an electro house track by Canadian producer Deadmau5, known for its heavy bass, energetic build-ups, and collaboration with vocalist Gerard Way.
-
A.
Grafters
Grafters is a British television drama series centered on the lives and relationships of two builder brothers working on high-end renovation projects.
-
B.
Cop Hater
Cop Hater is a 1956 crime novel by Evan Hunter that launched the long-running 87th Precinct police procedural series.
-
C.
Wrongdoers
"Wrongdoers" is a 2013 studio album by American metalcore band Norma Jean, noted for its aggressive sound and dynamic, experimental songwriting.
-
D.
The Freak
The Freak is the nickname of Tim Lincecum, a former San Francisco Giants pitcher known for his dominant performances, unorthodox delivery, and multiple Cy Young Awards.
-
E.
Scum
Scum is a gritty 1979 British crime drama film depicting the brutal realities of life inside a borstal (youth detention center), noted for its stark violence and Ray Winstone’s powerful performance.
- F. None of above. chosen
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195609d988190b7a70f8eabf75eaa |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01962ae4848190b2aad8e19bf6522f |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 5:44 a.m.