Triple

T3542366
Position Surface form Disambiguated ID Type / Status
Subject Ty Segall E74915 entity
Predicate associatedAct P37 FINISHED
Object GØGGS
GØGGS is a garage-punk/psychedelic rock band known for its noisy, aggressive sound and featuring prolific musician Ty Segall among its core members.
 E367239 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: GØGGS | Statement: [Ty Segall, associatedAct, GØGGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GØGGS
Context triple: [Ty Segall, associatedAct, GØGGS]
  • A. GOLLOG
    GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
  • B. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • C. Gahal
    Gahal was a right-wing political alliance in Israel formed in the 1960s, primarily uniting the Herut movement with the Liberal Party and serving as a key predecessor to the Likud party.
  • D. Grocka
    Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
  • E. Gose
    Gose is a small city in Japan’s Nara Prefecture known for its historic temples, traditional townscapes, and proximity to the Kongo and Katsuragi mountain ranges.
  • 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: GØGGS
Triple: [Ty Segall, associatedAct, GØGGS]
Generated description
GØGGS is a garage-punk/psychedelic rock band known for its noisy, aggressive sound and featuring prolific musician Ty Segall among its core members.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GØGGS
Target entity description: GØGGS is a garage-punk/psychedelic rock band known for its noisy, aggressive sound and featuring prolific musician Ty Segall among its core members.
  • A. GOLLOG
    GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
  • B. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • C. Gahal
    Gahal was a right-wing political alliance in Israel formed in the 1960s, primarily uniting the Herut movement with the Liberal Party and serving as a key predecessor to the Likud party.
  • D. Grocka
    Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
  • E. Gose
    Gose is a small city in Japan’s Nara Prefecture known for its historic temples, traditional townscapes, and proximity to the Kongo and Katsuragi mountain ranges.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf73c5e881909a8352512928377b completed March 8, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bdd0cb4819086119b54c2708850 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38cb6a2188190b68f4903144a0e51 completed March 13, 2026, 4:04 a.m.
NED2 Entity disambiguation (via description) batch_69b39062a10c8190bc227c02cf4f3ab1 completed March 13, 2026, 4:19 a.m.
Created at: March 8, 2026, 3:20 p.m.