Triple

T5277037
Position Surface form Disambiguated ID Type / Status
Subject Rogue E119394 entity
Predicate fullName P16 FINISHED
Object Anna Marie
Anna Marie, better known as Rogue, is a popular Marvel Comics superhero and longtime member of the X-Men who absorbs others’ powers and memories through touch.
E508710 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: Anna Marie | Statement: [Rogue, fullName, Anna Marie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Marie
Context triple: [Rogue, fullName, Anna Marie]
  • A. Mary Louise
    Mary Louise is the given first name of Irish politician Mary Lou McDonald, leader of the Sinn Féin party.
  • B. Mary Josephine
    Mary Josephine is the birth name of Mae Capone, the wife of notorious American gangster Al Capone.
  • C. Ann Eliza
    Ann Eliza is a historical figure known primarily as the namesake and given name of Ann Eliza Birney Russell.
  • D. Mary Ann Bertles
    Mary Ann Bertles was the wife of U.S. Supreme Court Justice Potter Stewart.
  • E. Augusta Julia Jacobs
    Augusta Julia Jacobs was the wife of renowned Russian jeweler Peter Carl Fabergé, associated with the illustrious Fabergé family behind the famous imperial Easter eggs.
  • 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: Anna Marie
Triple: [Rogue, fullName, Anna Marie]
Generated description
Anna Marie, better known as Rogue, is a popular Marvel Comics superhero and longtime member of the X-Men who absorbs others’ powers and memories through touch.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna Marie
Target entity description: Anna Marie, better known as Rogue, is a popular Marvel Comics superhero and longtime member of the X-Men who absorbs others’ powers and memories through touch.
  • A. Mary Louise
    Mary Louise is the given first name of Irish politician Mary Lou McDonald, leader of the Sinn Féin party.
  • B. Mary Josephine
    Mary Josephine is the birth name of Mae Capone, the wife of notorious American gangster Al Capone.
  • C. Ann Eliza
    Ann Eliza is a historical figure known primarily as the namesake and given name of Ann Eliza Birney Russell.
  • D. Mary Ann Bertles
    Mary Ann Bertles was the wife of U.S. Supreme Court Justice Potter Stewart.
  • E. Augusta Julia Jacobs
    Augusta Julia Jacobs was the wife of renowned Russian jeweler Peter Carl Fabergé, associated with the illustrious Fabergé family behind the famous imperial Easter eggs.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8474e7fc8190ab5dd84f665ae6a4 completed March 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06d611a88190b1afc9161620223b completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf095993c88190b75927b61eef15dc completed March 21, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69bf09c3f7048190bb8724fc64d35696 completed March 21, 2026, 9:12 p.m.
Created at: March 20, 2026, 1:51 p.m.