Triple

T20221563
Position Surface form Disambiguated ID Type / Status
Subject Andrés de Fonollosa E495265 entity
Predicate teamAffiliation P3753 FINISHED
Object Professor's gang — NE NERFINISHED

How this triple was built (3 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: Professor's gang | Statement: [Andrés de Fonollosa, teamAffiliation, Professor's gang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Professor's gang
Context triple: [Andrés de Fonollosa, teamAffiliation, Professor's gang]
  • A. The Gang
    The Gang is the dysfunctional central group of friends in the TV sitcom "It's Always Sunny in Philadelphia," known for their selfish schemes and morally questionable antics.
  • B. Gang Leader
    Gang Leader is a popular 1991 Telugu-language action-comedy film starring Chiranjeevi, known for its entertaining blend of family drama, humor, and mass appeal.
  • C. The Gangreen Gang
    The Gangreen Gang is a group of delinquent, green-skinned teenage hoodlums and recurring comic villains from the animated series "The Powerpuff Girls."
  • D. The Gangster
    The Gangster is a 1947 American film noir crime drama noted for its stylized cinematography and bleak portrayal of a small-time racketeer’s downfall.
  • E. Gang Busters
    Gang Busters is a classic American crime drama radio series, later adapted for film and television, known for its realistic depictions of law enforcement and dramatic, hard-hitting style.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Professor's gang
Target entity description: Professor's gang is the central group of meticulously organized robbers in the Spanish series "Money Heist" ("La Casa de Papel"), led by the Professor and known for executing large-scale heists on major national institutions.
  • A. The Gang
    The Gang is the dysfunctional central group of friends in the TV sitcom "It's Always Sunny in Philadelphia," known for their selfish schemes and morally questionable antics.
  • B. Gang Leader
    Gang Leader is a popular 1991 Telugu-language action-comedy film starring Chiranjeevi, known for its entertaining blend of family drama, humor, and mass appeal.
  • C. The Gangreen Gang
    The Gangreen Gang is a group of delinquent, green-skinned teenage hoodlums and recurring comic villains from the animated series "The Powerpuff Girls."
  • D. The Gangster
    The Gangster is a 1947 American film noir crime drama noted for its stylized cinematography and bleak portrayal of a small-time racketeer’s downfall.
  • E. Gang Busters
    Gang Busters is a classic American crime drama radio series, later adapted for film and television, known for its realistic depictions of law enforcement and dramatic, hard-hitting style.
  • F. None of above. chosen

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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fd610f881908fdd22b1f8bd2efc completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.