Triple

T17906612
Position Surface form Disambiguated ID Type / Status
Subject Jimmy E447717 entity
Predicate allyOf P4662 FINISHED
Object Sarah
Sarah is a person closely associated with Jimmy as a trusted friend or partner in a shared cause or context.
 E1297309 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: Sarah | Statement: [Jimmy, allyOf, Sarah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarah
Context triple: [Jimmy, allyOf, Sarah]
  • A. Sarah
    Sarah is the central protagonist of the story "Horse Girl," around whom the main narrative and character development revolve.
  • B. Sarah
    Sarah is the given first name of American actress and model Margaret Qualley, known for roles in projects like "Maid" and "Once Upon a Time in Hollywood."
  • C. Sarah
    Sarah is a person whose full name is Sarah Catherine McPherson Risher Getty.
  • D. Sarah
    Sarah is the given name of Sarah P. Duke, the philanthropist and namesake of Duke University's Sarah P. Duke Gardens.
  • E. Sarah
    Sarah is the given name of the renowned 19th- and early 20th-century French stage actress Sarah Bernhardt, often called "the Divine Sarah."
  • 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: Sarah
Triple: [Jimmy, allyOf, Sarah]
Generated description
Sarah is a person closely associated with Jimmy as a trusted friend or partner in a shared cause or context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sarah
Target entity description: Sarah is a person closely associated with Jimmy as a trusted friend or partner in a shared cause or context.
  • A. Sarah
    Sarah is an alternate given name associated with Sally Hemings, the enslaved woman of mixed race owned by Thomas Jefferson and central to historical discussions of slavery and Jefferson’s legacy.
  • B. Sarah
    Sarah is a person whose full name is Sarah Catherine McPherson Risher Getty.
  • C. Sarah
    Sarah is the given first name of American actress and model Margaret Qualley, known for roles in projects like "Maid" and "Once Upon a Time in Hollywood."
  • D. Sarah
    Sarah is a fictional character known as "The Lover," typically portrayed as a passionate, devoted, and emotionally driven romantic figure.
  • E. Sarah
    Sarah is a character associated with the work "Bastard," likely serving as a notable figure within its story.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9c7f54819088c6d2ce7bbea073 completed April 19, 2026, 9:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03290a45a081909d2a56c784bb3f9a completed May 12, 2026, 1:20 p.m.
NEDg Description generation batch_6a032a5f62248190ba172b975ed26747 completed May 12, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_6a032adbd1988190b2042e05589433f3 completed May 12, 2026, 1:27 p.m.
Created at: April 10, 2026, 10:19 a.m.