Triple

T12340350
Position Surface form Disambiguated ID Type / Status
Subject Freddie Jones E294205 entity
Predicate givenName P17 FINISHED
Object Freddie E92612 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: Freddie | Statement: [Freddie Jones, givenName, Freddie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freddie
Context triple: [Freddie Jones, givenName, Freddie]
  • A. Freddie chosen
    Freddie is a common diminutive given name, typically used as a nickname for Alfred or similar names.
  • B. Freddie
    "Freddie" is a 2018 studio album by American rapper Freddie Gibbs, known for its gritty lyricism and dark, hard-hitting production.
  • C. Freddie Christian
    Freddie Christian, better known as Freddie King, was an influential American blues guitarist and singer renowned for his powerful playing style and impact on electric blues and rock music.
  • D. Freddie Oversteegen
    Freddie Oversteegen was a Dutch resistance fighter during World War II, known for her courageous sabotage and armed actions against Nazi occupiers as a teenager.
  • E. Freddie Lyon
    Freddie Lyon is a driven and idealistic investigative journalist in the British television drama series "The Hour," known for his sharp intellect and uncompromising pursuit of the truth.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7758dc8190bbc6a9ad00b01dce completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aaa1d548190be065412aab70385 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.