Triple
T16304076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signed to the Streets |
E395862
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Say It To My Face
"Say It To My Face" is a track by Chicago rapper Lil Durk featured on his mixtape series "Signed to the Streets."
|
E1206242
|
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: Say It To My Face | Statement: [Signed to the Streets, hasPart, Say It To My Face]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Say It To My Face Context triple: [Signed to the Streets, hasPart, Say It To My Face]
-
A.
Say It to Me
"Say It to Me" is a song by the English synth-pop duo Pet Shop Boys from their 2016 album "Super."
-
B.
Say It
"Say It" is a 2015 R&B/hip-hop single by Tory Lanez that gained widespread popularity for its smooth vocals and prominent sample of Brownstone’s “If You Love Me.”
-
C.
Say It
"Say It" is a track by the American hip hop group R.E.D, featured as part of their musical releases.
-
D.
Say It
"Say It" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic sound.
-
E.
Say It
"Say It" is a track by Rihanna from her acclaimed 2007 album *Good Girl Gone Bad*, blending R&B and pop influences with sensual, confessional lyrics.
- 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: Say It To My Face Triple: [Signed to the Streets, hasPart, Say It To My Face]
Generated description
"Say It To My Face" is a track by Chicago rapper Lil Durk featured on his mixtape series "Signed to the Streets."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Say It To My Face Target entity description: "Say It To My Face" is a track by Chicago rapper Lil Durk featured on his mixtape series "Signed to the Streets."
-
A.
Say It to Me
"Say It to Me" is a song by the English synth-pop duo Pet Shop Boys from their 2016 album "Super."
-
B.
Say It
"Say It" is a track by the American hip hop group R.E.D, featured as part of their musical releases.
-
C.
Say It
"Say It" is a 2015 R&B/hip-hop single by Tory Lanez that gained widespread popularity for its smooth vocals and prominent sample of Brownstone’s “If You Love Me.”
-
D.
Say It
"Say It" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic sound.
-
E.
Say It
"Say It" is a track by Rihanna from her acclaimed 2007 album *Good Girl Gone Bad*, blending R&B and pop influences with sensual, confessional lyrics.
- 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.