Triple

T6229596
Position Surface form Disambiguated ID Type / Status
Subject Jack Irons E139320 entity
Predicate associatedAct P37 FINISHED
Object Flea E378410 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: Flea | Statement: [Jack Irons, associatedAct, Flea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flea
Context triple: [Jack Irons, associatedAct, Flea]
  • A. Flea chosen
    Flea is an American musician and actor best known as the bassist and co-founder of the rock band Red Hot Chili Peppers.
  • B. Fleck
    Fleck is the surname of Ludwik Fleck, a Polish microbiologist and philosopher of science known for his pioneering work on the sociology of scientific knowledge.
  • C. Skitters
    Skitters are an insectoid alien species that serve as primary ground troops and antagonists in the science fiction television series "Falling Skies."
  • D. Pulga
    Pulga is a small, scenic village in Himachal Pradesh, India, known for its tranquil Himalayan setting and popularity among trekkers and backpackers.
  • E. Collipulli
    Collipulli is a town and commune in Chile’s Araucanía Region, known historically for its railway viaduct and its role in regional agriculture and forestry.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062d9a33c8190b66dbd89e0e3bbba completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20de90ba08190be1e0c44b5b13f53 completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:22 p.m.