Triple

T17078470
Position Surface form Disambiguated ID Type / Status
Subject Scott toilet paper E414409 entity
Predicate competesWith P1375 FINISHED
Object Angel Soft E85150 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: Angel Soft | Statement: [Scott toilet paper, competesWith, Angel Soft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angel Soft
Context triple: [Scott toilet paper, competesWith, Angel Soft]
  • A. Angel Soft chosen
    Angel Soft is a popular American toilet paper brand known for its balance of softness, strength, and affordability.
  • B. Ariel Sensitive
    Ariel Sensitive is a gentle laundry detergent variant formulated for people with sensitive skin, offering effective cleaning with reduced irritants and perfumes.
  • C. Angel Blue
    Angel Blue is an acclaimed American operatic soprano known for her performances at leading international opera houses and her interpretations of major lyric and spinto roles.
  • D. Dulcissime
    "Dulcissime" is the climactic, high-flying soprano solo that concludes the "Cour d'amours" section of Carl Orff’s cantata Carmina Burana.
  • E. Dulce
    Dulce was a U.S. nuclear test conducted as part of Operation Bowline, a series of underground detonations carried out at the Nevada Test Site during the late 1960s.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe0e9cc8190b6c4b6065b474d1d completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139f7e6408190978c940c6e641d47 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:34 a.m.