Triple

T20183628
Position Surface form Disambiguated ID Type / Status
Subject Rob Bhaer E492795 entity
Predicate familyName P18 FINISHED
Object Bhaer
Bhaer is a fictional surname best known from Professor Friedrich Bhaer, a key character and eventual husband of Jo March in Louisa May Alcott’s novel "Little Women."
E1425960 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: Bhaer | Statement: [Rob Bhaer, familyName, Bhaer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhaer
Context triple: [Rob Bhaer, familyName, Bhaer]
  • A. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • B. Bhera
    Bhera is a historic town in present-day Punjab, Pakistan, known for its ancient trade routes and rich cultural heritage.
  • C. Bhilala
    The Bhilala are an indigenous Adivasi community of central India, primarily found in western Madhya Pradesh and known for their distinct cultural traditions and art.
  • D. Bhabra
    Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
  • E. Goghat
    Goghat is a town in West Bengal, India, known primarily as a rural administrative and agricultural center within the Hooghly region.
  • 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: Bhaer
Triple: [Rob Bhaer, familyName, Bhaer]
Generated description
Bhaer is a fictional surname best known from Professor Friedrich Bhaer, a key character and eventual husband of Jo March in Louisa May Alcott’s novel "Little Women."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bhaer
Target entity description: Bhaer is a fictional surname best known from Professor Friedrich Bhaer, a key character and eventual husband of Jo March in Louisa May Alcott’s novel "Little Women."
  • A. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • B. Bhera
    Bhera is a historic town in present-day Punjab, Pakistan, known for its ancient trade routes and rich cultural heritage.
  • C. Bhilala
    The Bhilala are an indigenous Adivasi community of central India, primarily found in western Madhya Pradesh and known for their distinct cultural traditions and art.
  • D. Bhabra
    Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
  • E. Goghat
    Goghat is a town in West Bengal, India, known primarily as a rural administrative and agricultural center within the Hooghly region.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f068748190a0941e98ef5afd59 completed April 20, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08693f41748190af0f3e86366da3c7 completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a086d16771c819088a5e5f34e927611 completed May 16, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_6a086e5854748190a302ff625f2eb9bd completed May 16, 2026, 1:17 p.m.
Created at: April 11, 2026, 11:36 p.m.