Triple

T14597917
Position Surface form Disambiguated ID Type / Status
Subject Maryanne E342621 entity
Predicate variantOf P4680 FINISHED
Object Mary Ann
Mary Ann is a feminine given name, traditionally a compound of "Mary" and "Ann," used in various English-speaking cultures.
E1108089 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: Mary Ann | Statement: [Maryanne, variantOf, Mary Ann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Ann
Context triple: [Maryanne, variantOf, Mary Ann]
  • A. Mary Ann
    Mary Ann is the namesake of the city of Marianna in Florida.
  • B. Mary Ann
    "Mary Ann" is a song by the American punk rock band Squirtgun, recognized as one of their more notable tracks.
  • C. Mary Anne
    Mary Anne, Viscountess Beaconsfield, was the wife of British Prime Minister Benjamin Disraeli and a notable Victorian-era social figure.
  • D. Mary Ann Day
    Mary Ann Day was the second wife of American abolitionist John Brown and the mother of several of his children, who supported his family during his militant anti-slavery activities.
  • E. Mary Ann Pearce
    Mary Ann Pearce is known as the wife of American crime novelist Mickey Spillane.
  • 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: Mary Ann
Triple: [Maryanne, variantOf, Mary Ann]
Generated description
Mary Ann is a feminine given name, traditionally a compound of "Mary" and "Ann," used in various English-speaking cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary Ann
Target entity description: Mary Ann is a feminine given name, traditionally a compound of "Mary" and "Ann," used in various English-speaking cultures.
  • A. Mary Ann
    Mary Ann is the namesake of the city of Marianna in Florida.
  • B. Mary Ann
    "Mary Ann" is a song by the American punk rock band Squirtgun, recognized as one of their more notable tracks.
  • C. Mary Anne
    Mary Anne, Viscountess Beaconsfield, was the wife of British Prime Minister Benjamin Disraeli and a notable Victorian-era social figure.
  • D. Mary Ann Day
    Mary Ann Day was the second wife of American abolitionist John Brown and the mother of several of his children, who supported his family during his militant anti-slavery activities.
  • E. Mary Ann Pearce
    Mary Ann Pearce is known as the wife of American crime novelist Mickey Spillane.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb436d92881908fdf9267568feee2 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c81e608190848c290defcd84ac completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd971a0f088190bf03708dcb64fc89 completed May 8, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69fd97f447488190958e79d776e2ed47 completed May 8, 2026, 7:59 a.m.
Created at: April 10, 2026, 1:25 a.m.