Triple

T10220035
Position Surface form Disambiguated ID Type / Status
Subject MIR E242550 entity
Predicate standsFor P590 FINISHED
Object Men in Red E49887 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: Men in Red | Statement: [MIR, standsFor, Men in Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Men in Red
Context triple: [MIR, standsFor, Men in Red]
  • A. Men in Red chosen
    Men in Red is a popular nickname for Chicago Fire FC, the Major League Soccer club based in Chicago.
  • B. Men in Green
    Men in Green is a popular nickname for the Pakistan national cricket team, known for its passionate fan base and unpredictable, exciting style of play.
  • C. Men in Blue
    Men in Blue is the popular nickname for the India national cricket team, known for its blue jerseys and passionate global fanbase.
  • D. The Women and The Men
    The Women and The Men is a poetry collection by Nikki Giovanni that explores themes of Black identity, gender, love, and social justice during the Black Arts Movement era.
  • E. The Men
    The Men is a 1950 American drama film notable for being Marlon Brando’s feature film debut and for its realistic portrayal of a paralyzed World War II veteran’s struggles to readjust to civilian life.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa715a3c8190a9ccee7bcece0346 completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a82c98fc8190929b7b56f9a6e60d completed April 8, 2026, 7:10 p.m.
Created at: April 6, 2026, 11:08 a.m.