Triple
T6054790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakshmi Godse |
E134881
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Godse |
E24134
|
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: Godse | Statement: [Lakshmi Godse, familyName, Godse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Godse Context triple: [Lakshmi Godse, familyName, Godse]
-
A.
Godse
chosen
Godse is the surname most infamously associated with Nathuram Godse, the assassin of Mahatma Gandhi in 1948.
-
B.
Semmes
Semmes is a surname most notably associated with Raphael Semmes, a Confederate naval officer and captain of the commerce raider CSS Alabama during the American Civil War.
-
C.
Havelock
Havelock is an English surname most notably associated with Sir Henry Havelock, a 19th-century British general known for his role in the Indian Rebellion of 1857.
-
D.
Regardie
Regardie is the surname of Israel Regardie, a prominent 20th-century occultist and author associated with the Hermetic Order of the Golden Dawn.
-
E.
Foege
Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05708fda48190ad3d1860969ebb6a |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113ac051c8190b2b8a4985948d8e0 |
completed | March 23, 2026, 10:19 a.m. |
Created at: March 22, 2026, 4:09 p.m.