Triple

T17351488
Position Surface form Disambiguated ID Type / Status
Subject Aunt May E421823 entity
Predicate alias P39 FINISHED
Object May Reilly Parker — NE ONDG

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: May Reilly Parker | Statement: [Aunt May, alias, May Reilly Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: May Reilly Parker
Context triple: [Aunt May, alias, May Reilly Parker]
  • A. Vivian Rutledge
    Vivian Rutledge is a sharp-witted, enigmatic socialite and femme fatale portrayed by Lauren Bacall in the classic film noir "The Big Sleep" (1946).
  • B. Ripley Parker
    Ripley Parker is a British writer and screenwriter, known for creating the Netflix teen drama series "Everything Now."
  • C. Virginia Hunter
    Virginia Hunter was the person after whom Virginia Falls, a notable waterfall, was named, indicating her historical or personal significance to the area.
  • D. Amy Prentiss
    Amy Prentiss is a 1970s American television crime drama series featuring Jessica Walter as a pioneering female chief of detectives in San Francisco.
  • E. Jennifer Parker
    Jennifer Parker is Marty McFly’s girlfriend in the Back to the Future film series, appearing as a key supporting character across its time-travel adventures.
  • 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: May Reilly Parker
Triple: [Aunt May, alias, May Reilly Parker]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: May Reilly Parker
Target entity description: May Reilly Parker is a central supporting character in Marvel Comics best known as Peter Parker’s loving and morally grounded aunt who helps shape Spider-Man’s values.
  • A. Vivian Rutledge
    Vivian Rutledge is a sharp-witted, enigmatic socialite and femme fatale portrayed by Lauren Bacall in the classic film noir "The Big Sleep" (1946).
  • B. Ripley Parker
    Ripley Parker is a British writer and screenwriter, known for creating the Netflix teen drama series "Everything Now."
  • C. Virginia Hunter
    Virginia Hunter was the person after whom Virginia Falls, a notable waterfall, was named, indicating her historical or personal significance to the area.
  • D. Amy Prentiss
    Amy Prentiss is a 1970s American television crime drama series featuring Jessica Walter as a pioneering female chief of detectives in San Francisco.
  • E. Jennifer Parker
    Jennifer Parker is Marty McFly’s girlfriend in the Back to the Future film series, appearing as a key supporting character across its time-travel adventures.
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2ca0708190aae8306ec3a6f2a7 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195585e5881909b0ad386b65112ba completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a0195c365348190bc5ae9d39094e6f3 in_progress May 11, 2026, 8:39 a.m.
Created at: April 10, 2026, 5:44 a.m.