Triple

T13726784
Position Surface form Disambiguated ID Type / Status
Subject Love the Future E329678 entity
Predicate artist P184 FINISHED
Object Chester French E65406 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: Chester French | Statement: [Love the Future, artist, Chester French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chester French
Context triple: [Love the Future, artist, Chester French]
  • A. Chester French chosen
    Chester French is an American indie pop duo known for their genre-blending sound, witty lyrics, and early association with producers like Pharrell Williams.
  • B. Cocker
    Cocker is the surname of English rock and blues singer Joe Cocker, known for his gritty voice and soulful cover versions of popular songs.
  • C. Talbot hound
    The Talbot hound is a now-extinct, large white hunting dog of medieval England, famed for its tracking ability and frequently used as a heraldic emblem.
  • D. Cap-Français
    Cap-Français was the principal port city and administrative center of the French colony of Saint-Domingue, known for its wealth, strategic Caribbean location, and role in the transatlantic slave trade.
  • E. Beagle
    Beagle is the NATO reporting name for the Soviet-era Ilyushin Il-28 jet bomber aircraft.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f63c1c8190a7d0b84f319aa99b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a84c02e08190b8ef620575157c14 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:55 p.m.