Triple

T11889952
Position Surface form Disambiguated ID Type / Status
Subject Pitman shorthand E282886 entity
Predicate hasCompetitor P1375 FINISHED
Object Gregg shorthand E953428 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: Gregg shorthand | Statement: [Pitman shorthand, hasCompetitor, Gregg shorthand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregg shorthand
Context triple: [Pitman shorthand, hasCompetitor, Gregg shorthand]
  • A. Gregg shorthand chosen
    Gregg shorthand is a widely used system of rapid writing based on elliptical figures and lines, designed for efficient note-taking and stenography in the English language.
  • B. Pitman shorthand
    Pitman shorthand is a phonetic writing system developed in the 19th century by Isaac Pitman to enable rapid transcription of spoken English using simplified strokes and symbols.
  • C. Teeline shorthand
    Teeline shorthand is a modern English shorthand system that uses simplified alphabet-based symbols to enable rapid writing, commonly taught to journalists in the UK.
  • D. Tachygraphy by Thomas Shelton
    Tachygraphy by Thomas Shelton is a 17th-century English shorthand system widely used for rapid writing, notably employed by Samuel Pepys to record his famous diary.
  • E. Morse
    Morse is the middle name of Mary Baker Eddy, the founder of Christian Science.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a2860c8190a21af5fcddbd2f1e completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4586898888190b58e3102d7edf7df completed May 1, 2026, 7:38 a.m.
Created at: April 8, 2026, 9:44 p.m.