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.