Triple

T4281428
Position Surface form Disambiguated ID Type / Status
Subject Sheffield Steelers E97157 entity
Predicate hasAbbreviation P43 FINISHED
Object SHE
SHE is the standard abbreviation used for the Sheffield Steelers, a professional ice hockey team based in Sheffield, England.
E426232 NE FINISHED

How this triple was built (4 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: SHE | Statement: [Sheffield Steelers, hasAbbreviation, SHE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SHE
Context triple: [Sheffield Steelers, hasAbbreviation, SHE]
  • A. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • B. Her
    "Her" is a lesser-known work by American poet, painter, and City Lights Books co-founder Lawrence Ferlinghetti, reflecting his characteristic Beat-influenced, avant-garde literary style.
  • C. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • D. Her
    "Her" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics about love and vulnerability.
  • E. HER
    HER is the official herbarium code assigned to the Berggarten botanical collection, used in scientific and taxonomic references.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SHE
Triple: [Sheffield Steelers, hasAbbreviation, SHE]
Generated description
SHE is the standard abbreviation used for the Sheffield Steelers, a professional ice hockey team based in Sheffield, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SHE
Target entity description: SHE is the standard abbreviation used for the Sheffield Steelers, a professional ice hockey team based in Sheffield, England.
  • A. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • B. Her
    "Her" is a lesser-known work by American poet, painter, and City Lights Books co-founder Lawrence Ferlinghetti, reflecting his characteristic Beat-influenced, avant-garde literary style.
  • C. Her
    "Her" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics about love and vulnerability.
  • D. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • E. HER
    HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • F. None of above. chosen

Provenance (5 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503938f481909505e0a322dd2b6c completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7bb0168819082a49347fdfe0997 completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b88fc3c08190acc376d3c3ccd147 completed March 14, 2026, 7:35 p.m.
NED2 Entity disambiguation (via description) batch_69b5b8eada308190809db5c4ff7eeac6 completed March 14, 2026, 7:37 p.m.
Created at: March 12, 2026, 11:07 p.m.