Triple

T15492568
Position Surface form Disambiguated ID Type / Status
Subject Marc McDermott E378729 entity
Predicate spouse P13 FINISHED
Object Miriam Nesbitt
Miriam Nesbitt was an early 20th-century American stage and silent film actress.
E1201510 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: Miriam Nesbitt | Statement: [Marc McDermott, spouse, Miriam Nesbitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miriam Nesbitt
Context triple: [Marc McDermott, spouse, Miriam Nesbitt]
  • A. Maude Herbert
    Maude Herbert was the wife of English composer Hubert Parry, associated with the cultural and musical circles of late 19th-century Britain.
  • B. Lillian Bohny
    Lillian Bohny is an individual associated with the use or authorship of works or materials attributed to the name Bohny.
  • C. Ellen French
    Ellen French was an American socialite from a prominent family, best known as the wife of wealthy businessman and sportsman Alfred Gwynne Vanderbilt.
  • D. Elizabeth French
    Elizabeth French was the wife of John Tillotson, the 17th-century Archbishop of Canterbury.
  • E. Hazel Lavery
    Hazel Lavery was an Anglo-American socialite and artist’s muse best known for her prominent appearance on Irish banknotes as the allegorical figure of Ireland.
  • 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: Miriam Nesbitt
Triple: [Marc McDermott, spouse, Miriam Nesbitt]
Generated description
Miriam Nesbitt was an early 20th-century American stage and silent film actress.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miriam Nesbitt
Target entity description: Miriam Nesbitt was an early 20th-century American stage and silent film actress.
  • A. Maude Herbert
    Maude Herbert was the wife of English composer Hubert Parry, associated with the cultural and musical circles of late 19th-century Britain.
  • B. Lillian Bohny
    Lillian Bohny is an individual associated with the use or authorship of works or materials attributed to the name Bohny.
  • C. Ellen French
    Ellen French was an American socialite from a prominent family, best known as the wife of wealthy businessman and sportsman Alfred Gwynne Vanderbilt.
  • D. Elizabeth French
    Elizabeth French was the wife of John Tillotson, the 17th-century Archbishop of Canterbury.
  • E. Hazel Lavery
    Hazel Lavery was an Anglo-American socialite and artist’s muse best known for her prominent appearance on Irish banknotes as the allegorical figure of Ireland.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0007757ed48190813f6ab839240a15 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a000bd836f081909ee477fd311c3295 completed May 10, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_6a000c33963c8190a00271fb732c5b50 completed May 10, 2026, 4:40 a.m.
Created at: April 10, 2026, 3:49 a.m.