Triple
T16304065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signed to the Streets |
E395862
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Who Is This
"Who Is This" is a track featured on the Chicago drill mixtape series "Signed to the Streets" by rapper Lil Durk.
|
E1206234
|
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: Who Is This | Statement: [Signed to the Streets, hasPart, Who Is This]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Who Is This Context triple: [Signed to the Streets, hasPart, Who Is This]
-
A.
Who Is It
"Who Is It" is a 1992 song by Michael Jackson, known for its dark, paranoid themes and intricate vocal arrangements.
-
B.
Who Is It
"Who Is It" is an a cappella-driven experimental pop song by Icelandic artist Björk from her 2004 album Medúlla.
-
C.
Who Are You
"Who Are You" is a 1978 rock song by The Who, widely recognized for its use as the theme music for the television series CSI: Crime Scene Investigation.
-
D.
So Is This
So Is This is an experimental Canadian film by Michael Snow that consists entirely of text on screen, exploring language, perception, and cinematic structure.
-
E.
This Is Who I Am
"This Is Who I Am" is an album, likely in the pop or rock genre, known for its introspective and personal themes.
- 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: Who Is This Triple: [Signed to the Streets, hasPart, Who Is This]
Generated description
"Who Is This" is a track featured on the Chicago drill mixtape series "Signed to the Streets" by rapper Lil Durk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Who Is This Target entity description: "Who Is This" is a track featured on the Chicago drill mixtape series "Signed to the Streets" by rapper Lil Durk.
-
A.
Who Is It
"Who Is It" is a 1992 song by Michael Jackson, known for its dark, paranoid themes and intricate vocal arrangements.
-
B.
Who Is It
"Who Is It" is an a cappella-driven experimental pop song by Icelandic artist Björk from her 2004 album Medúlla.
-
C.
Who Are You
"Who Are You" is a 1978 rock song by The Who, widely recognized for its use as the theme music for the television series CSI: Crime Scene Investigation.
-
D.
So Is This
So Is This is an experimental Canadian film by Michael Snow that consists entirely of text on screen, exploring language, perception, and cinematic structure.
-
E.
This Is Who I Am
"This Is Who I Am" is an album, likely in the pop or rock genre, known for its introspective and personal themes.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e35157481909e5604b7dae7a2a2 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa16e3c81908a92225b5b57d711 |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a00219696dc8190bcce66c1eeb07561 |
completed | May 10, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002221fe7c819083c8ede5e63b0908 |
completed | May 10, 2026, 6:13 a.m. |
Created at: April 10, 2026, 5:06 a.m.