Triple

T17568710
Position Surface form Disambiguated ID Type / Status
Subject PassthroughSubject E427881 entity
Predicate module P29649 FINISHED
Object Combine 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: Combine | Statement: [PassthroughSubject, module, Combine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Combine
Context triple: [PassthroughSubject, module, Combine]
  • A. Combine chosen
    Combine is Apple’s declarative reactive programming framework for handling asynchronous events and data streams in Swift applications.
  • B. Combine
    The Combine is a vast, multidimensional alien empire in the Half-Life series that conquers and exploits entire worlds, serving as the primary oppressive force against which humanity struggles.
  • C. Combine
    Combine is a type of artwork, pioneered by Robert Rauschenberg, that merges painting and sculpture by incorporating everyday objects and materials into the painted surface.
  • D. Merge
    "Merge" is a song by the experimental rock band Horn of Plenty.
  • E. Sammanthurai
    Sammanthurai is a town in Sri Lanka’s Eastern Province known for its predominantly Muslim community and agriculture-based local economy.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592f29d08190bc3de905d35af849 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.