Triple
T16527544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shabana Azmi |
E401479
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Arth
Arth is a critically acclaimed 1982 Indian Hindi-language drama film directed by Mahesh Bhatt, known for its realistic portrayal of marital discord and strong female characters.
|
E1218670
|
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: Arth | Statement: [Shabana Azmi, notableWork, Arth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arth Context triple: [Shabana Azmi, notableWork, Arth]
-
A.
Arth
Arth is a Swiss lakeside municipality in the canton of Schwyz, situated on the shores of Lake Zug and known for its scenic Alpine surroundings.
-
B.
Arthog
Arthog is a small village in Gwynedd, Wales, situated near the Mawddach Estuary and known for its scenic coastal and mountain surroundings.
-
C.
Aru
Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
-
D.
Aru
Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
-
E.
Artik
Artik is a small industrial town in northwestern Armenia known for its tufa stone quarries and historic churches.
- 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: Arth Triple: [Shabana Azmi, notableWork, Arth]
Generated description
Arth is a critically acclaimed 1982 Indian Hindi-language drama film directed by Mahesh Bhatt, known for its realistic portrayal of marital discord and strong female characters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arth Target entity description: Arth is a critically acclaimed 1982 Indian Hindi-language drama film directed by Mahesh Bhatt, known for its realistic portrayal of marital discord and strong female characters.
-
A.
Arth
Arth is a Swiss lakeside municipality in the canton of Schwyz, situated on the shores of Lake Zug and known for its scenic Alpine surroundings.
-
B.
Arthog
Arthog is a small village in Gwynedd, Wales, situated near the Mawddach Estuary and known for its scenic coastal and mountain surroundings.
-
C.
Aru
Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
-
D.
Aru
Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
-
E.
Artik
Artik is a small industrial town in northwestern Armenia known for its tufa stone quarries and historic churches.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed4b8a08190b5f179fc583001a6 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608efd0c81908e64419bd74eb285 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0062cbe9048190823db47a42dac26a |
completed | May 10, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00635f57c08190ad915082b00b0f88 |
completed | May 10, 2026, 10:52 a.m. |
Created at: April 10, 2026, 5:14 a.m.