Triple
T16879633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dead Prez |
E421383
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Stic.man
Stic.man is an American rapper, producer, and activist best known as one half of the politically charged hip hop duo Dead Prez.
|
E1238860
|
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: Stic.man | Statement: [Dead Prez, hasMember, Stic.man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stic.man Context triple: [Dead Prez, hasMember, Stic.man]
-
A.
Stikker
Stikker is a surname most notably associated with Dirk Stikker, a Dutch politician and diplomat who served as NATO Secretary General.
-
B.
Sticky Fingaz
Sticky Fingaz is an American rapper and actor best known as a member of the hardcore hip hop group Onyx and for his roles in film and television.
-
C.
Stitches
"Stitches" is a song by the British rock band Young Guns, known for its melodic hooks and emotionally charged alternative rock sound.
-
D.
Stitches
"Stitches" is a breakout pop song by Canadian singer-songwriter Shawn Mendes that gained widespread international popularity and helped establish his mainstream music career.
-
E.
Stick It
Stick It is a 2006 teen sports comedy-drama film centered on competitive gymnastics and rebellious youth.
- 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: Stic.man Triple: [Dead Prez, hasMember, Stic.man]
Generated description
Stic.man is an American rapper, producer, and activist best known as one half of the politically charged hip hop duo Dead Prez.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stic.man Target entity description: Stic.man is an American rapper, producer, and activist best known as one half of the politically charged hip hop duo Dead Prez.
-
A.
Stikker
Stikker is a surname most notably associated with Dirk Stikker, a Dutch politician and diplomat who served as NATO Secretary General.
-
B.
Sticky Fingaz
Sticky Fingaz is an American rapper and actor best known as a member of the hardcore hip hop group Onyx and for his roles in film and television.
-
C.
Stitches
"Stitches" is a breakout pop song by Canadian singer-songwriter Shawn Mendes that gained widespread international popularity and helped establish his mainstream music career.
-
D.
Stitches
"Stitches" is a song by the British rock band Young Guns, known for its melodic hooks and emotionally charged alternative rock sound.
-
E.
Stick It
Stick It is a 2006 teen sports comedy-drama film centered on competitive gymnastics and rebellious youth.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f9aea0819090aef3c0c1ad349d |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b684108190928afb0a2d1af038 |
completed | May 10, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_6a00c3719c88819080279147f9bc415e |
completed | May 10, 2026, 5:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c4850dec819085ae8b51c94c11e7 |
completed | May 10, 2026, 5:46 p.m. |
Created at: April 10, 2026, 5:29 a.m.