Triple
T29299507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemini Ganesan |
E742921
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Paarthaal Pasi Theerum
Paarthaal Pasi Theerum is a 1962 Tamil-language romantic drama film, best known for its performances by stars like Gemini Ganesan and its popular musical score.
|
E1858533
|
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: Paarthaal Pasi Theerum | Statement: [Gemini Ganesan, notableWork, Paarthaal Pasi Theerum]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Paarthaal Pasi Theerum Triple: [Gemini Ganesan, notableWork, Paarthaal Pasi Theerum]
Generated description
Paarthaal Pasi Theerum is a 1962 Tamil-language romantic drama film, best known for its performances by stars like Gemini Ganesan and its popular musical score.
Provenance (5 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_69f09123ed9881909f351f7541933f5e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f665a1a7148190ae6060514d16ffec |
completed | May 2, 2026, 8:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25894ebee081908a01ba3e1455baee |
completed | June 7, 2026, 3:07 p.m. |
| NEDg | Description generation | batch_6a258d278f888190a2f409e4a14451b2 |
completed | June 7, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a259116749c8190a2890948fa6af3f5 |
completed | June 7, 2026, 3:41 p.m. |
Created at: April 28, 2026, 1:09 p.m.