Triple

T4946330
Position Surface form Disambiguated ID Type / Status
Subject Hilary Mantel E111059 entity
Predicate familyName P18 FINISHED
Object Mantel
Mantel is a surname most prominently associated with the acclaimed British novelist Hilary Mantel, known for her historical fiction.
 E480686 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: Mantel | Statement: [Hilary Mantel, familyName, Mantel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mantel
Context triple: [Hilary Mantel, familyName, Mantel]
  • A. Tisch
    Tisch is a surname most prominently associated with the American Tisch family, known for their influence in business, philanthropy, and the entertainment industry.
  • B. Caroline Plate
    The Caroline Plate is a small tectonic plate in the western Pacific Ocean, located north of New Guinea and interacting with several surrounding plates in a complex boundary zone.
  • C. Barangrill
    "Barangrill" is a song by Canadian singer-songwriter Joni Mitchell from her 1972 album *For the Roses*, noted for its jazz-inflected folk style and observational lyrics.
  • D. Blodgett
    Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
  • E. Gofa
    Gofa is an Omotic language spoken primarily by the Gofa people in southwestern Ethiopia.
  • 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: Mantel
Triple: [Hilary Mantel, familyName, Mantel]
Generated description
Mantel is a surname most prominently associated with the acclaimed British novelist Hilary Mantel, known for her historical fiction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mantel
Target entity description: Mantel is a surname most prominently associated with the acclaimed British novelist Hilary Mantel, known for her historical fiction.
  • A. Tisch
    Tisch is a surname most prominently associated with the American Tisch family, known for their influence in business, philanthropy, and the entertainment industry.
  • B. Caroline Plate
    The Caroline Plate is a small tectonic plate in the western Pacific Ocean, located north of New Guinea and interacting with several surrounding plates in a complex boundary zone.
  • C. Barangrill
    "Barangrill" is a song by Canadian singer-songwriter Joni Mitchell from her 1972 album *For the Roses*, noted for its jazz-inflected folk style and observational lyrics.
  • D. Blodgett
    Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
  • E. Gofa
    Gofa is an Omotic language spoken primarily by the Gofa people in southwestern Ethiopia.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70aa890c81908e685ec5e88cae1f completed March 20, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77c873dc81909129644cf929ed5e completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be78db96e081909eec1b8e287e6ef9 completed March 21, 2026, 10:54 a.m.
NED2 Entity disambiguation (via description) batch_69be7940416881908167cd24b11d8be0 completed March 21, 2026, 10:56 a.m.
Created at: March 20, 2026, 1:31 p.m.