Triple
T20237579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suchitra Sen |
E498190
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Har Mana Har
Har Mana Har is an Indian Bengali-language film best known for featuring legendary actress Suchitra Sen in a prominent role.
|
E1419246
|
NE FINISHED |
How this triple was built (4 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: Har Mana Har | Statement: [Suchitra Sen, notableWork, Har Mana Har]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Har Mana Har Context triple: [Suchitra Sen, notableWork, Har Mana Har]
-
A.
Parijat Haran
Parijat Haran is a celebrated Assamese devotional play (Ankiya Naat) that dramatizes a Krishna legend and is one of the most important works of the saint-scholar Srimanta Sankardev.
-
B.
Marda Kunama
Marda Kunama is a regional dialect of the Kunama language spoken by the Kunama people of the Horn of Africa.
-
C.
Menmaatre
Menmaatre was the throne name of the ancient Egyptian pharaoh Seti I of the Nineteenth Dynasty.
-
D.
Chakari
Chakari is a small mining and agricultural town located in the Mashonaland West Province of Zimbabwe.
-
E.
Manik Baashha
Manik Baashha is a fictional protagonist, likely portrayed as a strong, central hero figure in the story he appears in.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Har Mana Har Triple: [Suchitra Sen, notableWork, Har Mana Har]
Generated description
Har Mana Har is an Indian Bengali-language film best known for featuring legendary actress Suchitra Sen in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Har Mana Har Target entity description: Har Mana Har is an Indian Bengali-language film best known for featuring legendary actress Suchitra Sen in a prominent role.
-
A.
Parijat Haran
Parijat Haran is a celebrated Assamese devotional play (Ankiya Naat) that dramatizes a Krishna legend and is one of the most important works of the saint-scholar Srimanta Sankardev.
-
B.
Marda Kunama
Marda Kunama is a regional dialect of the Kunama language spoken by the Kunama people of the Horn of Africa.
-
C.
Menmaatre
Menmaatre was the throne name of the ancient Egyptian pharaoh Seti I of the Nineteenth Dynasty.
-
D.
Chakari
Chakari is a small mining and agricultural town located in the Mashonaland West Province of Zimbabwe.
-
E.
Manik Baashha
Manik Baashha is a fictional protagonist, likely portrayed as a strong, central hero figure in the story he appears in.
- F. None of above. chosen
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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716b4c148190bf663b8a747fbfa5 |
completed | April 20, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b9264b88190b0f5a0364c1aebc0 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084c17a0808190a6ea7ea52246be8b |
completed | May 16, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084cf11ff8819086138489b9645c75 |
completed | May 16, 2026, 10:54 a.m. |
Created at: April 11, 2026, 11:40 p.m.