Triple

T23557872
Position Surface form Disambiguated ID Type / Status
Subject Reboot E579135 entity
Predicate featuresArtist P1952 FINISHED
Object Midland 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: Midland | Statement: [Reboot, featuresArtist, Midland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midland
Context triple: [Reboot, featuresArtist, Midland]
  • A. Midland
    Midland is a city in the Permian Basin region of West Texas known for its pivotal role in the oil and gas industry.
  • B. Midland
    Midland was a short-lived Formula One constructor that competed in the mid-2000s after taking over the Jordan Grand Prix team.
  • C. Midland
    Midland is a small town in central Ontario, Canada, known as a gateway to Georgian Bay and the 30,000 Islands region.
  • D. Midland
    Midland is a small industrial and cultural city in central Michigan known historically for its strong ties to the chemical industry and community-focused amenities.
  • E. Midland chosen
    Midland is an American country music trio known for its smooth, retro-inspired sound and polished harmonies.
  • 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_69e245fe24588190888f3aec8407d8e3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1af659e9881908b527accfd2b1187 completed April 29, 2026, 7:12 a.m.
Created at: April 17, 2026, 6:12 p.m.