Triple
T12771230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puthandu |
E305250
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Puthuvarudam |
E746063
|
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: Puthuvarudam | Statement: [Puthandu, alsoKnownAs, Puthuvarudam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puthuvarudam Context triple: [Puthandu, alsoKnownAs, Puthuvarudam]
-
A.
Puthuvarudam
chosen
Puthuvarudam is the traditional Tamil New Year festival, marking the beginning of the Tamil calendar year with cultural and religious celebrations.
-
B.
Nedumkandam
Nedumkandam is a high-range town in Kerala, India, known for its cool climate, cardamom plantations, and location along the Munnar–Thekkady route.
-
C.
Uppuveli
Uppuveli is a popular coastal resort area near Trincomalee in eastern Sri Lanka, known for its sandy beaches, clear waters, and relaxed seaside atmosphere.
-
D.
Vedalam
Vedalam is a 2015 Tamil-language action film starring Ajith Kumar, known for its mass appeal, high-octane fight sequences, and emotional brother-sister storyline.
-
E.
Velaikkaran
Velaikkaran is a 2017 Tamil-language social drama film starring Sivakarthikeyan that focuses on corporate corruption and the struggles of exploited workers.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f9ba848190b680d730b6a3b972 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:28 p.m.