Triple
T12707019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Alencherry |
E303614
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Alencherry
Alencherry is an Indian surname most prominently associated with George Alencherry, a senior prelate of the Syro-Malabar Catholic Church.
|
E1001571
|
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: Alencherry | Statement: [George Alencherry, familyName, Alencherry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alencherry Context triple: [George Alencherry, familyName, Alencherry]
-
A.
Cheriyam
Cheriyam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
B.
Kayadhu
Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
-
C.
Marayoor
Marayoor is a scenic village in Kerala, India, renowned for its natural sandalwood forests, prehistoric dolmens, and sugarcane farms near the Western Ghats.
-
D.
Angamaly
Angamaly is a town in the Ernakulam district of Kerala, India, known as a major transportation hub and gateway to the nearby Cochin International Airport.
-
E.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
- 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: Alencherry Triple: [George Alencherry, familyName, Alencherry]
Generated description
Alencherry is an Indian surname most prominently associated with George Alencherry, a senior prelate of the Syro-Malabar Catholic Church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alencherry Target entity description: Alencherry is an Indian surname most prominently associated with George Alencherry, a senior prelate of the Syro-Malabar Catholic Church.
-
A.
Cheriyam
Cheriyam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
B.
Kayadhu
Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
-
C.
Marayoor
Marayoor is a scenic village in Kerala, India, renowned for its natural sandalwood forests, prehistoric dolmens, and sugarcane farms near the Western Ghats.
-
D.
Angamaly
Angamaly is a town in the Ernakulam district of Kerala, India, known as a major transportation hub and gateway to the nearby Cochin International Airport.
-
E.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620663e881908d367170ed6d2c81 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e43424819080659ab152caae52 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f685dac5cc8190b4bc2d81186c9266 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6869156048190b548ecd04561deb8 |
completed | May 2, 2026, 11:19 p.m. |
Created at: April 9, 2026, 5:23 p.m.