Triple
T11945524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Monster |
E284286
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Frequency
Frequency is a music producer known for working with the rapper The Monster.
|
E955841
|
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: Frequency | Statement: [The Monster, producer, Frequency]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frequency Context triple: [The Monster, producer, Frequency]
-
A.
Frequency
Frequency is a rhythm-based music video game developed by Harmonix in which players interactively remix and perform songs by triggering musical tracks in time with the beat.
-
B.
Frequency
Frequency is a 2000 science fiction thriller film involving time-bending communication between a father and son to prevent a series of tragedies.
-
C.
Full Frequency
Full Frequency is a 2014 dancehall and reggae fusion studio album by Jamaican artist Sean Paul, featuring club-oriented tracks and numerous high-profile collaborations.
-
D.
Freq Nasty
Freq Nasty is a breakbeat and bass music producer and DJ known for his influential role in the late-1990s and early-2000s UK electronic music scene.
-
E.
Frequens
Frequens is a decree of the Council of Constance that mandated the regular convening of general church councils to limit papal authority and promote ecclesiastical reform.
- 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: Frequency Triple: [The Monster, producer, Frequency]
Generated description
Frequency is a music producer known for working with the rapper The Monster.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frequency Target entity description: Frequency is a music producer known for working with the rapper The Monster.
-
A.
Frequency
Frequency is a 2000 science fiction thriller film involving time-bending communication between a father and son to prevent a series of tragedies.
-
B.
Frequency
Frequency is a rhythm-based music video game developed by Harmonix in which players interactively remix and perform songs by triggering musical tracks in time with the beat.
-
C.
Full Frequency
Full Frequency is a 2014 dancehall and reggae fusion studio album by Jamaican artist Sean Paul, featuring club-oriented tracks and numerous high-profile collaborations.
-
D.
Freq Nasty
Freq Nasty is a breakbeat and bass music producer and DJ known for his influential role in the late-1990s and early-2000s UK electronic music scene.
-
E.
Frequens
Frequens is a decree of the Council of Constance that mandated the regular convening of general church councils to limit papal authority and promote ecclesiastical reform.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903456ec0819082b8b10755a6b732 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458cbb08881909a71f0592c9231ae |
completed | May 1, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_69f4645a7038819089d7533715f8a430 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4664ff9608190b23e29b3e5c1c326 |
completed | May 1, 2026, 8:37 a.m. |
Created at: April 8, 2026, 9:45 p.m.