Triple

T22355001
Position Surface form Disambiguated ID Type / Status
Subject Farruko E552627 entity
Predicate hasAlbum P1995 FINISHED
Object “TrapXficante”
“TrapXficante” is a Latin trap and reggaeton album by Puerto Rican artist Farruko that helped solidify his presence in the urban Latin music scene.
E1532878 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: “TrapXficante” | Statement: [Farruko, hasAlbum, “TrapXficante”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “TrapXficante”
Context triple: [Farruko, hasAlbum, “TrapXficante”]
  • A. 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.
  • B. The Trap
    The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
  • C. Traptanium Traps
    Traptanium Traps are collectible crystal devices in the Skylanders universe used to capture and play as defeated villains in the game.
  • D. Trampas
    Trampas is a recurring antagonist in Owen Wister’s Western novel *The Virginian*, known for his rivalry with the title character and embodiment of lawless frontier values.
  • E. The House of Traps
    The House of Traps is a British mystery film in which Arthur Margetson played a prominent role.
  • 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: “TrapXficante”
Triple: [Farruko, hasAlbum, “TrapXficante”]
Generated description
“TrapXficante” is a Latin trap and reggaeton album by Puerto Rican artist Farruko that helped solidify his presence in the urban Latin music scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: “TrapXficante”
Target entity description: “TrapXficante” is a Latin trap and reggaeton album by Puerto Rican artist Farruko that helped solidify his presence in the urban Latin music scene.
  • A. 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.
  • B. The Trap
    The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
  • C. Traptanium Traps
    Traptanium Traps are collectible crystal devices in the Skylanders universe used to capture and play as defeated villains in the game.
  • D. Trampas
    Trampas is a recurring antagonist in Owen Wister’s Western novel *The Virginian*, known for his rivalry with the title character and embodiment of lawless frontier values.
  • E. The House of Traps
    The House of Traps is a British mystery film in which Arthur Margetson played a prominent role.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157ceb2308190941f6507e605a612 completed April 29, 2026, 12:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae05e243081908fb6067c80b213e1 completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae2c1dc888190a32541b120332e88 completed May 18, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae3855838819080bf6883946b62f7 completed May 18, 2026, 10:01 a.m.
Created at: April 16, 2026, 8:44 p.m.