Triple

T4984824
Position Surface form Disambiguated ID Type / Status
Subject Valerian Street E111974 entity
Predicate spouse P13 FINISHED
Object Margaret Street
Margaret Street is an individual known primarily as the spouse of Valerian Street.
E848798 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: Margaret Street | Statement: [Valerian Street, spouse, Margaret Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Street
Context triple: [Valerian Street, spouse, Margaret Street]
  • A. Margaret Street
    Margaret Street is a fictional character from Toni Morrison’s novel "Tar Baby," representing complex themes of race, identity, and cultural dislocation.
  • B. Gerrard Street
    Gerrard Street is the central thoroughfare of London’s Chinatown, known for its dense concentration of Chinese restaurants, supermarkets, and cultural landmarks.
  • C. St Margaret Street
    St Margaret Street is a central London road in the City of Westminster, running alongside the Palace of Westminster and Westminster Abbey at the heart of the UK’s parliamentary district.
  • D. Oriel Street
    Oriel Street is a historic street in central Oxford, England, closely associated with Oriel College and the university area.
  • E. Magdalen Street
    Magdalen Street is a central street in Oxford, England, known for its shops, historic buildings, and proximity to major city landmarks.
  • 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: Margaret Street
Triple: [Valerian Street, spouse, Margaret Street]
Generated description
Margaret Street is an individual known primarily as the spouse of Valerian Street.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margaret Street
Target entity description: Margaret Street is an individual known primarily as the spouse of Valerian Street.
  • A. Margaret Street
    Margaret Street is a fictional character from Toni Morrison’s novel "Tar Baby," representing complex themes of race, identity, and cultural dislocation.
  • B. Gerrard Street
    Gerrard Street is the central thoroughfare of London’s Chinatown, known for its dense concentration of Chinese restaurants, supermarkets, and cultural landmarks.
  • C. St Margaret Street
    St Margaret Street is a central London road in the City of Westminster, running alongside the Palace of Westminster and Westminster Abbey at the heart of the UK’s parliamentary district.
  • D. Oriel Street
    Oriel Street is a historic street in central Oxford, England, closely associated with Oriel College and the university area.
  • E. Magdalen Street
    Magdalen Street is a central street in Oxford, England, known for its shops, historic buildings, and proximity to major city landmarks.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd725766d88190b6fda860a005ce4e completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d4d6c6d50c8190976d808e66d06d0f completed April 7, 2026, 10:04 a.m.
NEDg Description generation batch_69d4d7f9a37081908d5f65ab16ee10b1 completed April 7, 2026, 10:10 a.m.
NED2 Entity disambiguation (via description) batch_69d4d8b055cc8190991f9b6135ff4e86 completed April 7, 2026, 10:13 a.m.
Created at: March 20, 2026, 1:33 p.m.