Triple

T10365384
Position Surface form Disambiguated ID Type / Status
Subject Polly Maberly E244237 entity
Predicate familyName P18 FINISHED
Object Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
 E859361 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: Maberly | Statement: [Polly Maberly, familyName, Maberly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maberly
Context triple: [Polly Maberly, familyName, Maberly]
  • A. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • B. Barnston
    Barnston is a small village located on the Wirral Peninsula in Merseyside, England.
  • C. Pumanque
    Pumanque is a rural municipality and town in central Chile’s O’Higgins Region, known for its agricultural activities within the Colchagua Valley area.
  • D. Cassadaga
    Cassadaga is a small unincorporated community in Florida widely known as a center for Spiritualism and psychic mediums.
  • E. Myra
    Myra is a feminine given name used in various cultures, often associated with individuals of Jewish and English-speaking backgrounds.
  • 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: Maberly
Triple: [Polly Maberly, familyName, Maberly]
Generated description
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maberly
Target entity description: Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
  • A. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • B. Barnston
    Barnston is a small village located on the Wirral Peninsula in Merseyside, England.
  • C. Pumanque
    Pumanque is a rural municipality and town in central Chile’s O’Higgins Region, known for its agricultural activities within the Colchagua Valley area.
  • D. Cassadaga
    Cassadaga is a small unincorporated community in Florida widely known as a center for Spiritualism and psychic mediums.
  • E. Myra
    Myra is a feminine given name used in various cultures, often associated with individuals of Jewish and English-speaking backgrounds.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96f25f48190a41c8b0206b9238c completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7953ba52881908d6d7e5b099c12d2 completed April 9, 2026, 12:02 p.m.
NEDg Description generation batch_69d79784baa481909e57adda27578cc2 completed April 9, 2026, 12:11 p.m.
NED2 Entity disambiguation (via description) batch_69d7989f8dfc8190b1fe4429f7bb0283 completed April 9, 2026, 12:16 p.m.
Created at: April 6, 2026, noon