Triple

T12455352
Position Surface form Disambiguated ID Type / Status
Subject Olivier Giroud E297641 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Chelsea F.C. E18489 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: Chelsea F.C. | Statement: [Olivier Giroud, memberOfSportsTeam, Chelsea F.C.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsea F.C.
Context triple: [Olivier Giroud, memberOfSportsTeam, 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 historical work by British writer Thea Holme that portrays the social and cultural life of the Chelsea district in London.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da2a3cc81908de5a85257627fe2 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67188f6b481909885e35dce5a5b69 completed May 2, 2026, 9:50 p.m.
Created at: April 8, 2026, 9:56 p.m.