Triple

T14372630
Position Surface form Disambiguated ID Type / Status
Subject Misfit Link E356392 entity
Predicate integratesWith P1075 FINISHED
Object Misfit app E72275 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: Misfit app | Statement: [Misfit Link, integratesWith, Misfit app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Misfit app
Context triple: [Misfit Link, integratesWith, Misfit app]
  • A. Misfit chosen
    Misfit is a wearable technology and fitness-tracking brand known for its minimalist activity trackers and smartwatches.
  • B. Applegate
    Applegate is a natural and organic meat and cheese brand known for its minimally processed products and commitment to animal welfare.
  • C. Applegate
    Applegate is the surname of American actress Christina Applegate, known for her roles in television and film.
  • D. Loai Nofi
    Loai Nofi is an actor best known for his role in the film "Zaytoun."
  • E. Appar
    Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb2082c8190b42cc5f2bab4f574 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:15 a.m.