Triple
T10213232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kadhalan |
E242380
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Jeeva |
E759185
|
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: Jeeva | Statement: [Kadhalan, cinematographyBy, Jeeva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeeva Context triple: [Kadhalan, cinematographyBy, Jeeva]
-
A.
Jeeva
chosen
Jeeva was an Indian film director and cinematographer known for his visually distinctive work in Tamil cinema.
-
B.
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
-
C.
Kovai
Kovai is the commonly used local name for Coimbatore, a major industrial and educational city in the South Indian state of Tamil Nadu.
-
D.
Murugan
Murugan is a prominent Hindu deity of war and victory, especially revered in South India and Sri Lanka, often depicted as a youthful god with a spear and associated with wisdom and valor.
-
E.
Will Kuluva
Will Kuluva was an American character actor known for his numerous film and television roles from the 1940s through the 1970s.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652ea80dc81908bc65ee2ec390467 |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 11:03 a.m.