Triple
T19626730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakshmi avatar |
E471155
|
entity |
| Predicate | hasForm |
P169
|
FINISHED |
| Object | Alamelu |
—
|
NE NERFINISHED |
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: Alamelu | Statement: [Lakshmi avatar, hasForm, Alamelu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alamelu Context triple: [Lakshmi avatar, hasForm, Alamelu]
-
A.
Alamelu
chosen
Alamelu is a South Indian feminine given name, commonly used in Tamil and Telugu communities and often associated with Hindu cultural and religious traditions.
-
B.
Malinalli
Malinalli, better known as La Malinche, was a Nahua woman who served as interpreter, advisor, and intermediary for Hernán Cortés during the Spanish conquest of the Aztec Empire.
-
C.
Sheelam
Sheelam is a Sanskrit term referring to a person's virtuous character or moral conduct.
-
D.
Alamelu Mangapuram
Alamelu Mangapuram is a locality near Tirupati in Andhra Pradesh, India, known primarily as a prominent Hindu pilgrimage center associated with the goddess Padmavathi.
-
E.
Suratha
Suratha is a relatively obscure figure in the Mahabharata tradition, known primarily as the grandson of Dhritarashtra’s daughter Duhshala.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640eadcc48190ab5e36ddcde0c328 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.