Triple
T6239999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durgeshnandini |
E139574
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Tilottama
Tilottama is a central fictional heroine in Bankim Chandra Chattopadhyay’s Bengali historical novel "Durgeshnandini," noted for her beauty, courage, and romantic storyline.
|
E578849
|
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: Tilottama | Statement: [Durgeshnandini, hasMainCharacter, Tilottama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tilottama Context triple: [Durgeshnandini, hasMainCharacter, Tilottama]
-
A.
Tilakkam
Tilakkam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
B.
Tilpa
Tilpa is a tiny, remote village on the Darling River in outback New South Wales, Australia, known for its historic pub and role as a stopover for travelers and river communities.
-
C.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
D.
Tilok
Tilok is a variant spelling of the Indian given name "Tilak," commonly used in South Asian cultures.
-
E.
Tiltil
Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan 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: Tilottama Triple: [Durgeshnandini, hasMainCharacter, Tilottama]
Generated description
Tilottama is a central fictional heroine in Bankim Chandra Chattopadhyay’s Bengali historical novel "Durgeshnandini," noted for her beauty, courage, and romantic storyline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tilottama Target entity description: Tilottama is a central fictional heroine in Bankim Chandra Chattopadhyay’s Bengali historical novel "Durgeshnandini," noted for her beauty, courage, and romantic storyline.
-
A.
Tilakkam
Tilakkam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
B.
Tilpa
Tilpa is a tiny, remote village on the Darling River in outback New South Wales, Australia, known for its historic pub and role as a stopover for travelers and river communities.
-
C.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
D.
Tilok
Tilok is a variant spelling of the Indian given name "Tilak," commonly used in South Asian cultures.
-
E.
Tiltil
Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063067d9c819085a18d9d03939266 |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20e07bff8819091ca881c9b4daaf6 |
completed | March 24, 2026, 4:07 a.m. |
| NEDg | Description generation | batch_69c214aaef308190be1166c1389bf3d3 |
completed | March 24, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c21508dbec8190b9bb4806a83ecb13 |
completed | March 24, 2026, 4:37 a.m. |
Created at: March 22, 2026, 4:23 p.m.