Triple
T2894567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unaccustomed Earth |
E63904
|
entity |
| Predicate | mainCharacters |
P9202
|
FINISHED |
| Object |
Rahul
Rahul is a central character in Jhumpa Lahiri’s short story collection "Unaccustomed Earth," representing the experiences and struggles of the Indian-American diaspora.
|
E308242
|
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: Rahul | Statement: [Unaccustomed Earth, mainCharacters, Rahul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahul Context triple: [Unaccustomed Earth, mainCharacters, Rahul]
-
A.
Rahul Gandhi
Rahul Gandhi is an Indian politician and prominent leader of the Indian National Congress, known for being a key figure in national opposition politics and a member of the Nehru–Gandhi family.
-
B.
Varun Gandhi
Varun Gandhi is an Indian politician and member of the Bharatiya Janata Party who has served as a Member of Parliament in the Lok Sabha.
-
C.
Rajiv
Rajiv is an Indian male given name most prominently associated with former Prime Minister Rajiv Gandhi.
-
D.
Naveen
Naveen is a male given name commonly used in South Asian cultures, particularly in India.
-
E.
Jagdeep Dhankhar
Jagdeep Dhankhar is an Indian politician and lawyer serving as the 14th Vice President of India.
- 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: Rahul Triple: [Unaccustomed Earth, mainCharacters, Rahul]
Generated description
Rahul is a central character in Jhumpa Lahiri’s short story collection "Unaccustomed Earth," representing the experiences and struggles of the Indian-American diaspora.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rahul Target entity description: Rahul is a central character in Jhumpa Lahiri’s short story collection "Unaccustomed Earth," representing the experiences and struggles of the Indian-American diaspora.
-
A.
Rahul Gandhi
Rahul Gandhi is an Indian politician and prominent leader of the Indian National Congress, known for being a key figure in national opposition politics and a member of the Nehru–Gandhi family.
-
B.
Varun Gandhi
Varun Gandhi is an Indian politician and member of the Bharatiya Janata Party who has served as a Member of Parliament in the Lok Sabha.
-
C.
Rajiv
Rajiv is an Indian male given name most prominently associated with former Prime Minister Rajiv Gandhi.
-
D.
Naveen
Naveen is a male given name commonly used in South Asian cultures, particularly in India.
-
E.
Jagdeep Dhankhar
Jagdeep Dhankhar is an Indian politician and lawyer serving as the 14th Vice President of India.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe063de6c8190bce9ddefd1dd62e1 |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b031814764819096a1664b468ec817 |
completed | March 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69b03206ad288190aaa97a9379f3438c |
completed | March 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0398b955c81909c6155706f4b90e9 |
completed | March 10, 2026, 3:32 p.m. |
Created at: March 6, 2026, 10:07 p.m.