Triple
T17368709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subhaschandra |
E422251
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Subhas |
E86660
|
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: Subhas | Statement: [Subhaschandra, hasComponent, Subhas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Subhas Context triple: [Subhaschandra, hasComponent, Subhas]
-
A.
Subhas
chosen
Subhas is the given name of Subhas Chandra Bose, a prominent Indian nationalist leader who fought against British colonial rule.
-
B.
Basu
Basu is an Indian surname, particularly common among Bengali communities, that is closely related to and sometimes used as a variant of the surname Bose.
-
C.
Subhaschandra
Subhaschandra is an Indian given name, often associated with notable historical and cultural figures, that combines the meanings of “good” or “auspicious” (Subhas) and “moon” (Chandra).
-
D.
Partha Sarathi
Partha Sarathi is a name commonly associated with the Hindu deity Krishna in his role as the charioteer and guide of Arjuna in the Mahabharata.
-
E.
Somen Bose
Somen Bose is an actor known for appearing in the Indian film "Nayak."
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6790448190a24047523a019f81 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019566da6c819083b59e0911d02bd5 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.