Triple
T15206133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devi Lal |
E363393
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Devi Lal |
E363393
|
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: Devi Lal | Statement: [Devi Lal, name, Devi Lal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devi Lal Context triple: [Devi Lal, name, Devi Lal]
-
A.
Devi Lal
chosen
Devi Lal was an Indian politician and farmer leader who served as a prominent figure in Haryana politics and played a key role in national politics during the late 20th century.
-
B.
Banwari Lal
Banwari Lal was an Indian revolutionary involved in the Kakori train robbery, a notable act of resistance against British colonial rule in the 1920s.
-
C.
Bhajan Lal
Bhajan Lal was a prominent Indian politician and influential leader of Haryana known for his long tenure in state politics and multiple terms as chief minister.
-
D.
Bihari Lal
Bihari Lal was a prominent 17th-century Indian poet renowned for his concise and lyrical Braj Bhasha couplets, especially those compiled in the work "Bihari Satsai."
-
E.
Nandlal
Nandlal is an Indian given name, notably borne by Nandlal Nehru, an early 20th-century lawyer and member of the prominent Nehru family.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b7964c8190bc8dc3444b94f15e |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33b911c8190815341a342a8d3c8 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:11 a.m.