Triple
T22622365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapil Dev |
E558315
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Amiya Dev
Amiya Dev is the daughter of legendary Indian cricketer Kapil Dev.
|
E1545630
|
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: Amiya Dev | Statement: [Kapil Dev, child, Amiya Dev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amiya Dev Context triple: [Kapil Dev, child, Amiya Dev]
-
A.
Amruta Subhash
Amruta Subhash is an acclaimed Indian actress known for her powerful performances in Marathi cinema, theatre, and Hindi films and series such as Gully Boy and Sacred Games.
-
B.
Shubhashish Bhutiani
Shubhashish Bhutiani is an Indian filmmaker best known for his acclaimed feature film "Hotel Salvation" (original title "Mukti Bhawan").
-
C.
Amita Suman
Amita Suman is a Nepali-British actress best known for her role as Inej Ghafa in the fantasy television series "Shadow and Bone."
-
D.
Samit Bhanja
Samit Bhanja was an Indian film and theatre actor known for his work in Bengali cinema during the 1960s and 1970s.
-
E.
Parthibo
Parthibo is a Bengali literary work by acclaimed author Shirshendu Mukhopadhyay, known for its distinctive storytelling and exploration of human relationships.
- 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: Amiya Dev Triple: [Kapil Dev, child, Amiya Dev]
Generated description
Amiya Dev is the daughter of legendary Indian cricketer Kapil Dev.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amiya Dev Target entity description: Amiya Dev is the daughter of legendary Indian cricketer Kapil Dev.
-
A.
Amruta Subhash
Amruta Subhash is an acclaimed Indian actress known for her powerful performances in Marathi cinema, theatre, and Hindi films and series such as Gully Boy and Sacred Games.
-
B.
Shubhashish Bhutiani
Shubhashish Bhutiani is an Indian filmmaker best known for his acclaimed feature film "Hotel Salvation" (original title "Mukti Bhawan").
-
C.
Amita Suman
Amita Suman is a Nepali-British actress best known for her role as Inej Ghafa in the fantasy television series "Shadow and Bone."
-
D.
Samit Bhanja
Samit Bhanja was an Indian film and theatre actor known for his work in Bengali cinema during the 1960s and 1970s.
-
E.
Parthibo
Parthibo is a Bengali literary work by acclaimed author Shirshendu Mukhopadhyay, known for its distinctive storytelling and exploration of human relationships.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3ad6f48190b351a52e4b1d9b2d |
completed | April 29, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4e055bd48190936acf569afce629 |
completed | May 18, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_6a0b4ee959f881908f0c21c49d87026c |
completed | May 18, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b4fa690a48190a6e025408054605f |
completed | May 18, 2026, 5:43 p.m. |
Created at: April 17, 2026, 3 p.m.