Triple
T8988680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pretty Girls Like Trap Music |
E214732
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Trap Check
"Trap Check" is a track from 2 Chainz’s 2017 hip-hop album *Pretty Girls Like Trap Music*, showcasing his signature trap sound and lyrical style.
|
E772054
|
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: Trap Check | Statement: [Pretty Girls Like Trap Music, hasPart, Trap Check]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trap Check Context triple: [Pretty Girls Like Trap Music, hasPart, Trap Check]
-
A.
Traps
"Traps" is a novel by MacKenzie Scott (formerly MacKenzie Bezos), known for its interwoven narratives about four women whose lives collide over a tense four-day period.
-
B.
Check
"Check" is a popular trap single by American rapper Young Thug, known for its catchy hook and energetic production.
-
C.
The Trap
"The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
-
D.
The Trap
The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
-
E.
Trick
Trick is a minor character in the "Arkangel" episode of the anthology television series Black Mirror.
- 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: Trap Check Triple: [Pretty Girls Like Trap Music, hasPart, Trap Check]
Generated description
"Trap Check" is a track from 2 Chainz’s 2017 hip-hop album *Pretty Girls Like Trap Music*, showcasing his signature trap sound and lyrical style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trap Check Target entity description: "Trap Check" is a track from 2 Chainz’s 2017 hip-hop album *Pretty Girls Like Trap Music*, showcasing his signature trap sound and lyrical style.
-
A.
Traps
"Traps" is a novel by MacKenzie Scott (formerly MacKenzie Bezos), known for its interwoven narratives about four women whose lives collide over a tense four-day period.
-
B.
Check
"Check" is a popular trap single by American rapper Young Thug, known for its catchy hook and energetic production.
-
C.
The Trap
"The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
-
D.
The Trap
The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
-
E.
Trick
Trick is a minor character in the "Arkangel" episode of the anthology television series Black Mirror.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67f0fed8819098ef3c88f9ef8045 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0c58c94819095979b82a50cb77d |
completed | April 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69cfd1a32a64819090d423a99ab75362 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd250593881908312200ba7bba617 |
completed | April 3, 2026, 2:44 p.m. |
Created at: March 30, 2026, 7:04 p.m.