Triple

T14585342
Position Surface form Disambiguated ID Type / Status
Subject Syl Apps III E342299 entity
Predicate partOf P40 FINISHED
Object Apps family E1103946 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: Apps family | Statement: [Syl Apps III, partOf, Apps family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apps family
Context triple: [Syl Apps III, partOf, Apps family]
  • A. Apps family chosen
    The Apps family is a familial group or lineage to which Carol Apps belongs.
  • B. Apps
    Apps is an English-language surname borne by various individuals, including figures such as Sylvanus Apps.
  • C. Family Tools
    Family Tools is an American television sitcom that follows a well-meaning but inept man who takes over his father's handyman business, known for starring actor Kyle Bornheimer.
  • D. ABC app
    ABC app is a streaming platform from the ABC television network that lets viewers watch live and on-demand ABC programming, including college football broadcasts.
  • E. App Library for iOS
    App Library for iOS is a feature that automatically organizes iPhone apps into categorized collections and a single, streamlined view to simplify app management and access.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4209b988190ad2a7b2dead8ffed completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94bef27481908c108110dbf21780 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.