Triple

T12382492
Position Surface form Disambiguated ID Type / Status
Subject Fem E295777 entity
Predicate producer P490 FINISHED
Object Napji
Napji is a music producer known for crafting beats and tracks, particularly within contemporary hip-hop and related genres.
E976741 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: Napji | Statement: [Fem, producer, Napji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Napji
Context triple: [Fem, producer, Napji]
  • A. Mahwa
    Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
  • B. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • C. Sijjin
    Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
  • D. Jinki
    Jinki was a Japanese era name (nengō) of the Nara period, used during the reign of Empress Genshō.
  • E. Nagapasha
    Nagapasha is a mythical serpent-noose weapon from Hindu epics, famed for binding its targets with powerful, inescapable snake bonds.
  • 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: Napji
Triple: [Fem, producer, Napji]
Generated description
Napji is a music producer known for crafting beats and tracks, particularly within contemporary hip-hop and related genres.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Napji
Target entity description: Napji is a music producer known for crafting beats and tracks, particularly within contemporary hip-hop and related genres.
  • A. Mahwa
    Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
  • B. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • C. Sijjin
    Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
  • D. Jinki
    Jinki was a Japanese era name (nengō) of the Nara period, used during the reign of Empress Genshō.
  • E. Nagapasha
    Nagapasha is a mythical serpent-noose weapon from Hindu epics, famed for binding its targets with powerful, inescapable snake bonds.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbb3a2481908c2fcb5e6488eb3c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac5b46c81908d419e09f5629c37 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62c586ee8819082421b87572d5f1b completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62caa8dbc8190ac233f4913159746 completed May 2, 2026, 4:56 p.m.
Created at: April 8, 2026, 9:54 p.m.