Triple

T3972456
Position Surface form Disambiguated ID Type / Status
Subject Siouxsie and the Banshees E92364 entity
Predicate album P1995 FINISHED
Object Juju
Juju is a 1981 post-punk/gothic rock album by Siouxsie and the Banshees, widely regarded as one of their most influential and critically acclaimed releases.
 E405202 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: Juju | Statement: [Siouxsie and the Banshees, album, Juju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Juju
Context triple: [Siouxsie and the Banshees, album, Juju]
  • A. Jamnik
    Jamnik is a character from B.F. Skinner’s utopian novel "Walden Two," representing one of the community members shaped by its behaviorist social principles.
  • B. Blaze
    Blaze is the anthropomorphic orange cat mascot of the Portland Trail Blazers NBA team.
  • C. Blaze
    Blaze is a hostile, floating, fire-based mob in Minecraft’s Nether dimension that attacks players by shooting fireballs.
  • D. Kismet
    Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
  • E. Kismet
    Kismet is an open-source wireless network detector, sniffer, and intrusion detection system widely used for Wi-Fi security auditing and monitoring.
  • 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: Juju
Triple: [Siouxsie and the Banshees, album, Juju]
Generated description
Juju is a 1981 post-punk/gothic rock album by Siouxsie and the Banshees, widely regarded as one of their most influential and critically acclaimed releases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Juju
Target entity description: Juju is a 1981 post-punk/gothic rock album by Siouxsie and the Banshees, widely regarded as one of their most influential and critically acclaimed releases.
  • A. Jamnik
    Jamnik is a character from B.F. Skinner’s utopian novel "Walden Two," representing one of the community members shaped by its behaviorist social principles.
  • B. Blaze
    Blaze is the anthropomorphic orange cat mascot of the Portland Trail Blazers NBA team.
  • C. Blaze
    Blaze is a hostile, floating, fire-based mob in Minecraft’s Nether dimension that attacks players by shooting fireballs.
  • D. Kismet
    Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
  • E. Kismet
    Kismet is an open-source wireless network detector, sniffer, and intrusion detection system widely used for Wi-Fi security auditing and monitoring.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef996ff6c8190ba8cc490e4744b95 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5400fa9ac8190adf70a4c49eac32c completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b5442537488190a7a99e09ee154057 completed March 14, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_69b544f60e288190973aaf0a4136a072 completed March 14, 2026, 11:22 a.m.
Created at: March 9, 2026, 3:32 p.m.