Triple

T3968613
Position Surface form Disambiguated ID Type / Status
Subject Knifehead E92274 entity
Predicate affiliation P10 FINISHED
Object Precursors E84985 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: Precursors | Statement: [Knifehead, affiliation, Precursors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Precursors
Context triple: [Knifehead, affiliation, Precursors]
  • A. Precursors chosen
    The Precursors are an ancient, highly advanced alien race that orchestrates interdimensional kaiju attacks on Earth in the Pacific Rim universe.
  • B. Presagio
    Presagio is a novel by Italian writer Andrea Molesini, known for its evocative prose and exploration of complex human emotions.
  • C. The Originator
    The Originator is an honorific nickname for Little Richard, recognizing his pioneering role in shaping rock and roll music.
  • D. Prysm
    Prysm is a widely used Ethereum consensus client implementation written in Go that helps manage validators and secure the network under proof-of-stake.
  • E. The Trespassers
    "The Trespassers" is a novel by American author Laura Z. Hobson that explores themes of immigration, prejudice, and moral responsibility on the eve of World War II.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef992d6bc8190be1b244eb87f2964 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533c39de881908916baaf8d8c6cd6 completed March 14, 2026, 10:09 a.m.
Created at: March 9, 2026, 3:32 p.m.