Triple
T15843018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijay Mallya |
E384143
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mallya
Mallya is an Indian surname most prominently associated with businessman and former liquor baron Vijay Mallya.
|
E1180650
|
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: Mallya | Statement: [Vijay Mallya, familyName, Mallya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mallya Context triple: [Vijay Mallya, familyName, Mallya]
-
A.
Malika
Malika is a feminine given name of Arabic origin commonly used in various Muslim-majority and North African cultures.
-
B.
Mala
Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
-
C.
Mala
Mala is a musical track featured on the album ENOC by the Puerto Rican singer Ozuna.
-
D.
Mala
Mala is a character in Jhumpa Lahiri’s short story "The Third and Final Continent," portrayed as the narrator’s arranged-marriage wife who gradually builds a tender, companionate relationship with him as they adapt to life in America.
-
E.
Surma
Surma is a group of closely related languages spoken by indigenous communities in southwestern Ethiopia and neighboring regions.
- 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: Mallya Triple: [Vijay Mallya, familyName, Mallya]
Generated description
Mallya is an Indian surname most prominently associated with businessman and former liquor baron Vijay Mallya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mallya Target entity description: Mallya is an Indian surname most prominently associated with businessman and former liquor baron Vijay Mallya.
-
A.
Malika
Malika is a feminine given name of Arabic origin commonly used in various Muslim-majority and North African cultures.
-
B.
Mala
Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
-
C.
Mala
Mala is a musical track featured on the album ENOC by the Puerto Rican singer Ozuna.
-
D.
Mala
Mala is a character in Jhumpa Lahiri’s short story "The Third and Final Continent," portrayed as the narrator’s arranged-marriage wife who gradually builds a tender, companionate relationship with him as they adapt to life in America.
-
E.
Surma
Surma is a group of closely related languages spoken by indigenous communities in southwestern Ethiopia and neighboring regions.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142ea3da08190a9d2d5917f84907c |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa13eab4881908794104508ba53af |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa527af048190b1f87d85e50bf254 |
completed | May 9, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5df00e481909e203e78940395ed |
completed | May 9, 2026, 9:23 p.m. |
Created at: April 10, 2026, 4:50 a.m.