Triple

T20541614
Position Surface form Disambiguated ID Type / Status
Subject Reilly Marie Anspaugh E504349 entity
Predicate middleName P143 FINISHED
Object Marie
Marie is the middle name of Reilly Marie Anspaugh.
E1438907 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: Marie | Statement: [Reilly Marie Anspaugh, middleName, Marie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie
Context triple: [Reilly Marie Anspaugh, middleName, Marie]
  • A. Marie
    "Marie" is a 1985 biographical drama film directed by Roger Donaldson, depicting the true story of whistleblower Marie Ragghianti’s fight against political corruption in Tennessee.
  • B. Marie
    Marie is an individual known primarily as the spouse of Jess.
  • C. Marie
    Marie is a fictional character from the American sitcom "Vinnie & Bobby," which followed two construction workers navigating life and relationships in Chicago.
  • D. Marie
    "Marie" is a popular jazz and big band standard composed by Thomas "Tommy" Dorsey that became one of his signature recordings.
  • E. Marie
    Marie is one of the Squid Sisters, a popular idol duo from Nintendo’s Splatoon series known for hosting in-game news and events.
  • 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: Marie
Triple: [Reilly Marie Anspaugh, middleName, Marie]
Generated description
Marie is the middle name of Reilly Marie Anspaugh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marie
Target entity description: Marie is the middle name of Reilly Marie Anspaugh.
  • A. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • B. Marie
    Marie is an individual known primarily as the spouse of Jess.
  • C. Marie
    Marie is one of the two central characters in the film "Malcolm & Marie," serving as a key figure in its intimate relationship drama.
  • D. Marie
    Marie is the central protagonist of the romantic drama film "Passion of Mind," whose life is split between two contrasting realities that blur the line between dream and truth.
  • E. Marie
    Marie is a character in the play and film "Come Back, Little Sheba," typically portrayed as a young, attractive boarder whose presence stirs emotional tension in the household.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a292dd1c8190b5c3031f3b44eb52 completed April 20, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08acd567f88190accf53a985baa9b4 completed May 16, 2026, 5:43 p.m.
NEDg Description generation batch_6a08ae401ed481908b6222d572d57b35 completed May 16, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_6a08aec256988190bc43a1f784a458ec completed May 16, 2026, 5:52 p.m.
Created at: April 16, 2026, 11:37 a.m.