Triple
T9743383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K. Kamaraj |
E236244
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object | Tamra Patra |
E261947
|
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: Tamra Patra | Statement: [K. Kamaraj, awardReceived, Tamra Patra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamra Patra Context triple: [K. Kamaraj, awardReceived, Tamra Patra]
-
A.
Tamra Patra
chosen
Tamra Patra is a prestigious Indian civilian honor, typically conferred by the government in recognition of distinguished public service or contributions to the nation.
-
B.
Nandana
Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
-
C.
Mukta Barve
Mukta Barve is a prominent Indian actress and producer acclaimed for her versatile performances in Marathi films, television, and theatre.
-
D.
Seema Raja
Seema Raja is a 2018 Tamil-language action-comedy film starring Sivakarthikeyan, known for its rural setting, commercial entertainment elements, and mass-appeal storytelling.
-
E.
Nagla Chandrabhan
Nagla Chandrabhan is a village in Uttar Pradesh, India, best known as the birthplace of prominent Indian politician and philosopher Deendayal Upadhyaya.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2e5bb081908047e3bf5fe3991c |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1affb761881908dde9a4f028c32f6 |
completed | April 5, 2026, 12:42 a.m. |
Created at: March 30, 2026, 8:23 p.m.