Triple
T10354138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freida Pinto |
E243953
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
Trishna
Trishna is a 2011 British-Indian drama film directed by Michael Winterbottom, loosely based on Thomas Hardy’s novel "Tess of the d’Urbervilles."
|
E857933
|
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: Trishna | Statement: [Freida Pinto, appearedIn, Trishna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trishna Context triple: [Freida Pinto, appearedIn, Trishna]
-
A.
Manthara
Manthara is a pivotal character in the Indian epic Ramayana, known as Queen Kaikeyi’s scheming maid whose manipulation leads to Rama’s exile.
-
B.
Kireedam
Kireedam is a 2007 Tamil-language action drama film starring Ajith Kumar, known for its emotional storyline about a young man's life derailed by circumstances and violence.
-
C.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
-
D.
Yudgha
Yudgha is an alternative name for Yidgha, an Eastern Iranian language spoken primarily in the Chitral region of northern Pakistan.
-
E.
Kapalkundala
Kapalkundala is a classic 19th-century Bengali novel renowned for its romantic and spiritual themes, written by pioneering Indian author Bankim Chandra Chattopadhyay.
- 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: Trishna Triple: [Freida Pinto, appearedIn, Trishna]
Generated description
Trishna is a 2011 British-Indian drama film directed by Michael Winterbottom, loosely based on Thomas Hardy’s novel "Tess of the d’Urbervilles."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trishna Target entity description: Trishna is a 2011 British-Indian drama film directed by Michael Winterbottom, loosely based on Thomas Hardy’s novel "Tess of the d’Urbervilles."
-
A.
Manthara
Manthara is a pivotal character in the Indian epic Ramayana, known as Queen Kaikeyi’s scheming maid whose manipulation leads to Rama’s exile.
-
B.
Kireedam
Kireedam is a 2007 Tamil-language action drama film starring Ajith Kumar, known for its emotional storyline about a young man's life derailed by circumstances and violence.
-
C.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
-
D.
Yudgha
Yudgha is an alternative name for Yidgha, an Eastern Iranian language spoken primarily in the Chitral region of northern Pakistan.
-
E.
Kapalkundala
Kapalkundala is a classic 19th-century Bengali novel renowned for its romantic and spiritual themes, written by pioneering Indian author Bankim Chandra Chattopadhyay.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e952c878819084e5d7a593a3f9e9 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750a30af88190b2ebf0daf758ed44 |
completed | April 9, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69d7618da0188190901026dd51ceaa46 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77045ea988190bd8e31f5f636f69b |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 6, 2026, 11:58 a.m.