Triple

T20828401
Position Surface form Disambiguated ID Type / Status
Subject Doctor Doom E512762 entity
Predicate affiliation P10 FINISHED
Object Cabal 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: Cabal | Statement: [Doctor Doom, affiliation, Cabal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabal
Context triple: [Doctor Doom, affiliation, Cabal]
  • A. Cabal
    Cabal is the standard build and package management system for the Haskell programming language, used to define, build, and distribute Haskell software.
  • B. Cabal chosen
    The Cabal is a secretive alliance of powerful Marvel supervillains who collaborate to manipulate global events and further their own ambitions.
  • C. Kabal
    Kabal is a masked, hook-sword-wielding fighter from the Mortal Kombat series known for his superhuman speed and brutal attacks.
  • D. Caíde
    Caíde is a railway station in northern Portugal that serves as a key stop on the Linha do Marco (Marco line).
  • E. The Cabal
    The Cabal is a powerful clandestine organization in The Blacklist that secretly manipulates global politics, intelligence agencies, and criminal networks to serve its own hidden agenda.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c31e387481909fcf323f97019803 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.