Triple

T12977167
Position Surface form Disambiguated ID Type / Status
Subject Martha Stevens E321555 entity
Predicate name P16 FINISHED
Object Martha Stevens
Martha Stevens is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
E321555 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: Martha Stevens | Statement: [Martha Stevens, name, Martha Stevens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Stevens
Context triple: [Martha Stevens, name, Martha Stevens]
  • A. Martha Stevens
    Martha Stevens is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Stevens.
  • B. Martha Hunt
    Martha Hunt is an American fashion model best known for her work with Victoria’s Secret, including serving as a Victoria’s Secret Angel.
  • C. Martha Pattridge
    Martha Pattridge is known as the wife of longtime Manhattan District Attorney Robert M. Morgenthau.
  • D. Martha Dix
    Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
  • E. Martha Thompson
    Martha Thompson was the wife of Confederate Lieutenant General John C. Pemberton, noted for his role in the American Civil War.
  • 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: Martha Stevens
Triple: [Martha Stevens, name, Martha Stevens]
Generated description
Martha Stevens is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martha Stevens
Target entity description: Martha Stevens is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
  • A. Martha Stevens chosen
    Martha Stevens is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Stevens.
  • B. Martha Hunt
    Martha Hunt is an American fashion model best known for her work with Victoria’s Secret, including serving as a Victoria’s Secret Angel.
  • C. Martha Pattridge
    Martha Pattridge is known as the wife of longtime Manhattan District Attorney Robert M. Morgenthau.
  • D. Martha Dix
    Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
  • E. Martha Thompson
    Martha Thompson was the wife of Confederate Lieutenant General John C. Pemberton, noted for his role in the American Civil War.
  • F. None of above.

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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e48c0208190bb7ec80780480b37 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5da6a2081909dcc9785598e1196 completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee6b1a29481908c5c945ef801468d completed May 9, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fee7b5e3f0819091246455e239996a completed May 9, 2026, 7:52 a.m.
Created at: April 9, 2026, 8:38 p.m.