Triple

T9781144
Position Surface form Disambiguated ID Type / Status
Subject Z Nation E237373 entity
Predicate hasCharacter P2308 FINISHED
Object 10K E820672 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: 10K | Statement: [Z Nation, hasCharacter, 10K]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 10K
Context triple: [Z Nation, hasCharacter, 10K]
  • A. 10K chosen
    10K is a skilled young sharpshooter and zombie killer from the post-apocalyptic TV series "Z Nation," known for his goal of reaching ten thousand zombie kills.
  • B. K1
    K1 is the first highly accurate marine chronometer built by Larcum Kendall in the 18th century, famous for its role in improving longitude determination at sea.
  • C. K1
    K1, also known as Masherbrum, is a prominent 7,821-meter peak in the Karakoram range of Pakistan and one of the world’s highest mountains.
  • D. Laufen
    Laufen is a historic Bavarian town in southeastern Germany situated on the banks of the Salzach River near the Austrian border.
  • E. 10K Projects
    10K Projects is an American independent record label known for signing prominent hip-hop and pop artists and rapidly growing its presence in the contemporary music industry.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b23cb88190b458ab18d5f7f493 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41b31b08190937f374c2d51aa1b completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.