Triple

T20517931
Position Surface form Disambiguated ID Type / Status
Subject Alfred Bester E503728 entity
Predicate conflictsWith P4897 FINISHED
Object Michael Garibaldi 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: Michael Garibaldi | Statement: [Alfred Bester, conflictsWith, Michael Garibaldi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Garibaldi
Context triple: [Alfred Bester, conflictsWith, Michael Garibaldi]
  • A. Michael Garibaldi chosen
    Michael Garibaldi is a central character in the science fiction television series Babylon 5, serving as the station’s head of security known for his resourcefulness, loyalty, and personal struggles.
  • B. Garibaldi
    Garibaldi is a bright orange damselfish native to the Pacific coast of North America and recognized as the state marine fish of California.
  • C. Garibaldi
    Garibaldi is a Brazilian town in the Serra Gaúcha region of Rio Grande do Sul, known for its wine production and Italian immigrant heritage.
  • D. Garibaldi / Lagunilla
    Garibaldi / Lagunilla is a Mexico City Metro station known for serving the historic Plaza Garibaldi mariachi area and the traditional Lagunilla market district.
  • E. Ezio Garibaldi
    Ezio Garibaldi was an Italian actor and film director active in the early to mid-20th century, known for his work in both silent and sound cinema.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f43e0b08190b043f35645b264a0 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.