Triple
T10482285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CB4 |
E247201
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Deezer D
Deezer D was an American actor and rapper best known for his long-running role as nurse Malik McGrath on the television series "ER."
|
E864803
|
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: Deezer D | Statement: [CB4, starring, Deezer D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deezer D Context triple: [CB4, starring, Deezer D]
-
A.
Deezer
Deezer is a global music streaming service offering on-demand access to a large catalog of songs, playlists, and podcasts across multiple platforms.
-
B.
DEE
DEE is the IATA airport code for Yuzhno-Kurilsk Mendeleyevo Airport, which serves the town of Yuzhno-Kurilsk in Russia’s Kuril Islands.
-
C.
Spotify
Spotify is a popular digital music, podcast, and video streaming service that offers on-demand and curated audio content across multiple platforms.
-
D.
DJ Playero
DJ Playero is a pioneering Puerto Rican DJ and producer known for his influential mixtapes that helped shape and popularize early reggaeton.
-
E.
.dj
.dj is the country code top-level domain (ccTLD) assigned to Djibouti on the internet.
- 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: Deezer D Triple: [CB4, starring, Deezer D]
Generated description
Deezer D was an American actor and rapper best known for his long-running role as nurse Malik McGrath on the television series "ER."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deezer D Target entity description: Deezer D was an American actor and rapper best known for his long-running role as nurse Malik McGrath on the television series "ER."
-
A.
Deezer
Deezer is a global music streaming service offering on-demand access to a large catalog of songs, playlists, and podcasts across multiple platforms.
-
B.
DEE
DEE is the IATA airport code for Yuzhno-Kurilsk Mendeleyevo Airport, which serves the town of Yuzhno-Kurilsk in Russia’s Kuril Islands.
-
C.
Spotify
Spotify is a popular digital music, podcast, and video streaming service that offers on-demand and curated audio content across multiple platforms.
-
D.
DJ Playero
DJ Playero is a pioneering Puerto Rican DJ and producer known for his influential mixtapes that helped shape and popularize early reggaeton.
-
E.
.dj
.dj is the country code top-level domain (ccTLD) assigned to Djibouti on the internet.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095d21c08190a0b2f3e57fabb1d8 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a03336988190bc1e61126fe576be |
completed | April 10, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_69d8a166404881909c28141fefea2936 |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2c550ac81908444c6abfe14698a |
completed | April 10, 2026, 7:12 a.m. |
Created at: April 6, 2026, 12:22 p.m.