Triple
T12886454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Only Goodness |
E308235
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Rahul |
E308242
|
NE FINISHED |
How this triple was built (2 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: [Only Goodness, featuresCharacter, Rahul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahul Context triple: [Only Goodness, featuresCharacter, Rahul]
-
A.
Rahul
chosen
Rahul is a central character in Jhumpa Lahiri’s short story collection "Unaccustomed Earth," representing the experiences and struggles of the Indian-American diaspora.
-
B.
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.
-
C.
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.
-
D.
Rajiv
Rajiv is an Indian male given name most prominently associated with former Prime Minister Rajiv Gandhi.
-
E.
Naveen
Naveen is a male given name commonly used in South Asian cultures, particularly in India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714415c08190aa9944b494a3ddad |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5576ae4819084914697b2e86d9f |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:39 p.m.