Triple

T16781328
Position Surface form Disambiguated ID Type / Status
Subject The Machine E407862 entity
Predicate loyalTo P1201 FINISHED
Object Team Machine E1168891 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: Team Machine | Statement: [The Machine, loyalTo, Team Machine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Team Machine
Context triple: [The Machine, loyalTo, Team Machine]
  • A. Team Machine chosen
    Team Machine is the covert group of operatives in the TV series "Person of Interest" who work on behalf of the Machine to prevent violent crimes and counter larger threats.
  • B. Royal Machines
    Royal Machines is an all-star rock supergroup known for its high-energy live performances featuring rotating lineups of prominent rock musicians.
  • C. Team Extreme
    Team Extreme was a popular WWE stable best known for featuring high-flying, risk-taking wrestlers like Rob Van Dam and the Hardy Boyz during the early 2000s.
  • D. Team Z
    Team Z was a prominent French professional cycling team of the late 1980s and early 1990s, best known for its colorful jerseys and for supporting Greg LeMond during his Tour de France victories.
  • E. Ekipa
    Ekipa is a Polish political drama television series created and directed by acclaimed filmmaker Agnieszka Holland.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b216726881908ddc9cdc772cd5e4 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b287a96c8190a16d7c76d05be106 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:22 a.m.