Triple
T8340946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goutam Ghose |
E195910
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Paar
"Paar" is a critically acclaimed Indian film directed by Goutam Ghose, known for its stark portrayal of social injustice and rural hardship.
|
E728378
|
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: Paar | Statement: [Goutam Ghose, notableWork, Paar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paar Context triple: [Goutam Ghose, notableWork, Paar]
-
A.
Paar
Paar is a surname most notably associated with American television host and comedian Jack Paar, a pioneering figure of late-night talk shows.
-
B.
Parainen
Parainen is a coastal town and municipality in southwestern Finland known for its archipelago landscape and maritime heritage.
-
C.
Dvoynik
Dvoynik is the original Russian title of Fyodor Dostoevsky’s novella "The Double," a psychological work about a government clerk who encounters his uncanny doppelgänger.
-
D.
Manche
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
-
E.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
- 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: Paar Triple: [Goutam Ghose, notableWork, Paar]
Generated description
"Paar" is a critically acclaimed Indian film directed by Goutam Ghose, known for its stark portrayal of social injustice and rural hardship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paar Target entity description: "Paar" is a critically acclaimed Indian film directed by Goutam Ghose, known for its stark portrayal of social injustice and rural hardship.
-
A.
Paar
Paar is a surname most notably associated with American television host and comedian Jack Paar, a pioneering figure of late-night talk shows.
-
B.
Parainen
Parainen is a coastal town and municipality in southwestern Finland known for its archipelago landscape and maritime heritage.
-
C.
Dvoynik
Dvoynik is the original Russian title of Fyodor Dostoevsky’s novella "The Double," a psychological work about a government clerk who encounters his uncanny doppelgänger.
-
D.
Manche
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
-
E.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fe8989481909b32d4bfd586372d |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc72bc43c81909d95c7eb6aefc403 |
completed | April 2, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69cdcb90bec88190a2c19681405aa13e |
completed | April 2, 2026, 1:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcd0fc9488190a0a576c385b9bc1f |
completed | April 2, 2026, 1:57 a.m. |
Created at: March 30, 2026, 5:58 p.m.