Triple
T20589470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jungle Book 2 |
E505876
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Ranjan
Ranjan is a young, adventurous village boy who appears as a supporting character in Disney’s animated film "The Jungle Book 2."
|
E1440389
|
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: Ranjan | Statement: [The Jungle Book 2, mainCharacter, Ranjan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranjan Context triple: [The Jungle Book 2, mainCharacter, Ranjan]
-
A.
Rajan
Rajan is an ancient Indian royal title denoting a king or ruler, commonly used in early historic dynasties such as the Satavahanas.
-
B.
Swarup
Swarup is an Indian given name commonly used for males, derived from Sanskrit and generally meaning "form" or "true nature."
-
C.
Naren
Naren is a person whose given name is commonly used in South Asian communities, often as a shortened form of names like Narendra.
-
D.
Raghu
Raghu was a monarch of the ancient Indian Kadamba dynasty, known for ruling parts of present-day Karnataka.
-
E.
Ratanji
Ratanji is an Indian industrialist and member of the prominent Tata family, known for his role in the early development of the Tata business empire.
- 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: Ranjan Triple: [The Jungle Book 2, mainCharacter, Ranjan]
Generated description
Ranjan is a young, adventurous village boy who appears as a supporting character in Disney’s animated film "The Jungle Book 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ranjan Target entity description: Ranjan is a young, adventurous village boy who appears as a supporting character in Disney’s animated film "The Jungle Book 2."
-
A.
Rajan
Rajan is an ancient Indian royal title denoting a king or ruler, commonly used in early historic dynasties such as the Satavahanas.
-
B.
Swarup
Swarup is an Indian given name commonly used for males, derived from Sanskrit and generally meaning "form" or "true nature."
-
C.
Naren
Naren is a person whose given name is commonly used in South Asian communities, often as a shortened form of names like Narendra.
-
D.
Raghu
Raghu was a monarch of the ancient Indian Kadamba dynasty, known for ruling parts of present-day Karnataka.
-
E.
Ratanji
Ratanji is an Indian industrialist and member of the prominent Tata family, known for his role in the early development of the Tata business empire.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a979e4a48190a948165fb0f3b265 |
completed | April 20, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3e61f888190b805b7d19d673536 |
completed | May 16, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_6a08b4a7779481909b5bf6e99e632841 |
completed | May 16, 2026, 6:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b57ff3e48190952c973726821e2b |
completed | May 16, 2026, 6:20 p.m. |
Created at: April 16, 2026, 11:40 a.m.