Triple

T16998809
Position Surface form Disambiguated ID Type / Status
Subject Paper Mate Flair E412385 entity
Predicate manufacturer P490 FINISHED
Object Paper Mate E90315 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: Paper Mate | Statement: [Paper Mate Flair, manufacturer, Paper Mate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paper Mate
Context triple: [Paper Mate Flair, manufacturer, Paper Mate]
  • A. Paper Mate chosen
    Paper Mate is a well-known brand of writing instruments, particularly pens and pencils, recognized for everyday school, office, and home use.
  • B. Ever-Sharp mechanical pencil
    The Ever-Sharp mechanical pencil is an early 20th-century self-feeding pencil that popularized the modern mechanical pencil design and helped launch Tokuji Hayakawa’s manufacturing career.
  • C. Pensil
    Pensil is a neighborhood located within the Miguel Hidalgo borough of Mexico City, Mexico.
  • D. Lamy
    Lamy is a French surname most prominently associated with Pascal Lamy, a former Director-General of the World Trade Organization.
  • E. Sharpie
    Sharpie is a popular brand of permanent markers and writing instruments known for their bold, quick-drying ink used in homes, schools, and offices.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37cd6248190a7202ae754882640 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139ed3c5c8190b9d3662378ead04c completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:32 a.m.