Triple
T19322044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Susan Agar |
E483248
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Agar
Agar is a common English surname of possible Norman origin, borne by various individuals including those in contemporary English-speaking countries.
|
E1371379
|
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: Agar | Statement: [Linda Susan Agar, familyName, Agar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agar Context triple: [Linda Susan Agar, familyName, Agar]
-
A.
Agar
Agar is a town in the Indian state of Madhya Pradesh, known as the administrative center of Agar Malwa district.
-
B.
Harinas
Harinas is a rural settlement located within Syangja District in the Gandaki Province of central Nepal.
-
C.
Gaggal
Gaggal is a town in Himachal Pradesh, India, known primarily for serving as the location of Kangra Airport, a key air gateway to the Kangra Valley and nearby Dharamshala.
-
D.
Aga
Aga is a city in Egypt’s Dakahlia Governorate, known as one of the region’s principal urban centers in the Nile Delta.
-
E.
Aga
Aga is a rural town in Japan known for its mountainous landscapes and location within Niigata Prefecture on the island of Honshu.
- 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: Agar Triple: [Linda Susan Agar, familyName, Agar]
Generated description
Agar is a common English surname of possible Norman origin, borne by various individuals including those in contemporary English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agar Target entity description: Agar is a common English surname of possible Norman origin, borne by various individuals including those in contemporary English-speaking countries.
-
A.
Agar
Agar is a town in the Indian state of Madhya Pradesh, known as the administrative center of Agar Malwa district.
-
B.
Harinas
Harinas is a rural settlement located within Syangja District in the Gandaki Province of central Nepal.
-
C.
Gaggal
Gaggal is a town in Himachal Pradesh, India, known primarily for serving as the location of Kangra Airport, a key air gateway to the Kangra Valley and nearby Dharamshala.
-
D.
Aga
Aga is a city in Egypt’s Dakahlia Governorate, known as one of the region’s principal urban centers in the Nile Delta.
-
E.
Aga
Aga is a rural town in Japan known for its mountainous landscapes and location within Niigata Prefecture on the island of Honshu.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8948948190b76a384041333509 |
completed | April 20, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071bd8090881908fed92a3b6b02f6d |
completed | May 15, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_6a071f9990fc819084b0ea1fdfe0ac51 |
completed | May 15, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07200bae248190bc95a13445d5a15e |
completed | May 15, 2026, 1:30 p.m. |
Created at: April 10, 2026, 1:32 p.m.