Triple
T21329970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karthika |
E525871
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Karthikai |
—
|
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: Karthikai | Statement: [Karthika, hasAlternativeName, Karthikai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karthikai Context triple: [Karthika, hasAlternativeName, Karthikai]
-
A.
Chandramukhi
Chandramukhi is a courtesan and one of the central tragic figures in Sarat Chandra Chattopadhyay’s novel "Devdas," known for her deep, unrequited love and devotion to the protagonist.
-
B.
Chandramukhi
Chandramukhi is a hugely popular 2005 Tamil horror-comedy film that became one of Rajinikanth’s most successful and influential movies.
-
C.
Karthika
chosen
Karthika is a month in the traditional Hindu lunar calendar, particularly significant in South India for its religious observances and festivals.
-
D.
Narthaki
Narthaki is a small settlement in central Greece, located in the regional unit of Larissa within the historical region of Thessaly.
-
E.
Aradhana
Aradhana is a landmark 1969 Hindi romantic drama film, celebrated for its music and performances, that significantly boosted the stardom of its lead actors.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab5076f48190a9c89c7de4741779 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:42 p.m.