Triple
T20237591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suchitra Sen |
E498190
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Shap Mochan
Shap Mochan is a Bengali film best known for featuring legendary actress Suchitra Sen in a prominent role.
|
E1419255
|
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: Shap Mochan | Statement: [Suchitra Sen, notableWork, Shap Mochan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shap Mochan Context triple: [Suchitra Sen, notableWork, Shap Mochan]
-
A.
Dov Hoz
Dov Hoz was a prominent early Zionist leader and pioneer of Jewish aviation in pre-state Israel.
-
B.
Shye Ben Tzur
Shye Ben Tzur is an Israeli composer, singer, and producer known for his fusion of Indian classical, Sufi, and Middle Eastern music, often performed in Hebrew, Urdu, and Hindi.
-
C.
Moti Safra
Moti Safra is a theoretical computer scientist recognized for his influential contributions to complexity theory and automata, honored with the prestigious EATCS Award.
-
D.
Moti Yung
Moti Yung is a prominent computer scientist and cryptographer known for influential contributions to modern cryptography, security protocols, and privacy-preserving technologies.
-
E.
Eric Malka
Eric Malka is an entrepreneur best known as the co-founder of the luxury men's grooming brand The Art of Shaving.
- 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: Shap Mochan Triple: [Suchitra Sen, notableWork, Shap Mochan]
Generated description
Shap Mochan is a Bengali 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: Shap Mochan Target entity description: Shap Mochan is a Bengali film best known for featuring legendary actress Suchitra Sen in a prominent role.
-
A.
Dov Hoz
Dov Hoz was a prominent early Zionist leader and pioneer of Jewish aviation in pre-state Israel.
-
B.
Shye Ben Tzur
Shye Ben Tzur is an Israeli composer, singer, and producer known for his fusion of Indian classical, Sufi, and Middle Eastern music, often performed in Hebrew, Urdu, and Hindi.
-
C.
Moti Safra
Moti Safra is a theoretical computer scientist recognized for his influential contributions to complexity theory and automata, honored with the prestigious EATCS Award.
-
D.
Moti Yung
Moti Yung is a prominent computer scientist and cryptographer known for influential contributions to modern cryptography, security protocols, and privacy-preserving technologies.
-
E.
Eric Malka
Eric Malka is an entrepreneur best known as the co-founder of the luxury men's grooming brand The Art of Shaving.
- 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.