Triple

T21638845
Position Surface form Disambiguated ID Type / Status
Subject Shiva Rose E534033 entity
Predicate familyName P18 FINISHED
Object Rose
Rose is a common surname of English and Scottish origin, typically derived from the given name or the flower and borne by numerous notable individuals worldwide.
E178655 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: Rose | Statement: [Shiva Rose, familyName, Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rose
Context triple: [Shiva Rose, familyName, Rose]
  • A. Rose
    Rose is a central character in Tommy Wiseau’s cult film "The Room," known for her manipulative relationship with the protagonist, Johnny.
  • B. Rose
    Rose is a young woman confined to a brutal Irish Magdalene asylum in the 2002 drama film "The Magdalene Sisters."
  • C. Rose
    Rose is a central character in the musical "Gypsy," known as the domineering and ambitious stage mother whose relentless drive propels much of the story’s drama.
  • D. Rose
    "Rose" is a theatrical work by Cree playwright Tomson Highway that explores Indigenous identity, resilience, and community through rich storytelling and music.
  • E. Rose
    Rose is a fictional main character, likely a central figure in the story "Bed of Rose’s," around whom the narrative primarily revolves.
  • 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: Rose
Triple: [Shiva Rose, familyName, Rose]
Generated description
Rose is a common surname of English and Scottish origin, typically derived from the given name or the flower and borne by numerous notable individuals worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rose
Target entity description: Rose is a common surname of English and Scottish origin, typically derived from the given name or the flower and borne by numerous notable individuals worldwide.
  • A. Rose
    Rose is a feminine given name commonly associated with the flower and often used in English-speaking countries.
  • B. Rose chosen
    Rose is a common English surname shared by many individuals, including the American basketball player Derrick Rose.
  • C. Rose
    Rose is a central figure in the British genealogy documentary series "Who Do You Think You Are?", featured as the main subject of an episode exploring her family history.
  • D. Rose
    Rose is a fictional character who serves as the intended recipient or focus of the work "Some People."
  • E. Rose
    Rose is a fragrance and body care line by Roger & Gallet centered on the delicate, classic scent of roses.
  • F. None of above.

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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538fb12481908f70ad8dbe1d99e4 completed April 27, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0fa04cd481909a9a9d7420646e00 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a10d3dd8081909f2370db4a3cb527 completed May 17, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1143621881908af17d96a1759f9a completed May 17, 2026, 7:04 p.m.
Created at: April 16, 2026, 6:35 p.m.