Triple

T4880207
Position Surface form Disambiguated ID Type / Status
Subject Booth Tarkington E109304 entity
Predicate notableWork P4 FINISHED
Object Seventeen E447055 NE FINISHED

How this triple was built (2 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: Seventeen | Statement: [Booth Tarkington, notableWork, Seventeen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seventeen
Context triple: [Booth Tarkington, notableWork, Seventeen]
  • A. Seventeen
    Seventeen is a popular South Korean boy group known for their synchronized performances, self-produced music, and large multi-unit lineup.
  • B. Seventeen chosen
    Seventeen is a long-running American teen magazine focused on fashion, beauty, relationships, and lifestyle for teenage girls.
  • C. Twice
    Twice is a South Korean girl group formed by JYP Entertainment, known for their catchy pop songs and significant influence on the global K-pop scene.
  • D. Fifth Harmony
    Fifth Harmony was an American girl group formed on The X Factor USA, known for their pop and R&B hits and powerful harmonies.
  • E. 5 Seconds of Summer
    5 Seconds of Summer is an Australian pop-rock band known for their energetic blend of pop-punk and rock influences and international chart-topping hits.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dc071d4819083ea9fd0c73c5f49 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6803a1c081908972984241276c19 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.