Triple

T8538208
Position Surface form Disambiguated ID Type / Status
Subject Middle of Nowhere E202129 entity
Predicate productionCompany P490 FINISHED
Object Forward Movement E329665 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: Forward Movement | Statement: [Middle of Nowhere, productionCompany, Forward Movement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forward Movement
Context triple: [Middle of Nowhere, productionCompany, Forward Movement]
  • A. Forward Movement chosen
    Forward Movement is a film and television production company known for developing and producing screen content.
  • B. Forward
    Forward was the central campaign slogan used by Barack Obama during his 2012 U.S. presidential re-election bid, emphasizing progress and continuation of his policies.
  • C. Forward
    Forward is the state motto of Wisconsin, expressing its emphasis on progress and continual improvement.
  • D. Moving Forward
    "Moving Forward" was a global advertising slogan used by Toyota to emphasize progress, innovation, and continuous improvement in its brand identity.
  • E. Future Movement
    Future Movement is a major Lebanese political party led by the Hariri family, known for its Sunni base and central role in post-civil war politics and opposition to Syrian influence in Lebanon.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a5c2848190836c612597de83b7 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d953fd0819094958d2b5a5a8e13 completed April 2, 2026, 1:22 p.m.
Created at: March 30, 2026, 6:18 p.m.