Triple

T19622194
Position Surface form Disambiguated ID Type / Status
Subject Geoffrey Charles Hurst E471038 entity
Predicate managedTeam P3234 FINISHED
Object Chelsea F.C. NE NERFINISHED

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: Chelsea F.C. | Statement: [Geoffrey Charles Hurst, managedTeam, Chelsea F.C.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsea F.C.
Context triple: [Geoffrey Charles Hurst, managedTeam, Chelsea F.C.]
  • A. Chelsea F.C. chosen
    Chelsea F.C. is a professional English football club based in West London that competes in the Premier League and is known for its domestic and European successes.
  • B. Chelsea
    Chelsea is a neighborhood on Manhattan’s West Side in New York City, known for its art galleries, nightlife, and historic architecture.
  • C. Chelsea
    Chelsea is a feminine given name of Old English origin that became widely popular in English-speaking countries in the late 20th century.
  • D. Chelsea
    "Chelsea" is a song by Phoebe Bridgers from her debut studio album "Stranger in the Alps."
  • E. Chelsea
    Chelsea is a prominent professional football club based in London, England, known for its success in domestic and European competitions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e7949081908a89414ef899fa20 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.