Triple
T10354141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freida Pinto |
E243953
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
Love Sonia
Love Sonia is a 2018 Indian drama film that follows a young village girl’s harrowing journey through the global sex trafficking underworld.
|
E857936
|
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: Love Sonia | Statement: [Freida Pinto, appearedIn, Love Sonia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Sonia Context triple: [Freida Pinto, appearedIn, Love Sonia]
-
A.
Love, Antosha
Love, Antosha is a 2019 documentary film that chronicles the life and career of actor Anton Yelchin through home videos, interviews, and personal writings.
-
B.
Larina
Larina is a Russian surname most notably borne by Anna Larina, the widow of Bolshevik leader Nikolai Bukharin.
-
C.
Marliana
Marliana is a small Italian municipality in the Tuscany region, known for its hilly landscape and historic rural character.
-
D.
Love Child
"Love Child" is a memoir by American actress Mackenzie Phillips in which she recounts her turbulent childhood, struggles with addiction, and complex family relationships.
-
E.
Love Child
Love Child is an Australian period drama television series set in a 1960s Sydney maternity hospital, focusing on the lives of unwed mothers and the staff who care for them.
- 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: Love Sonia Triple: [Freida Pinto, appearedIn, Love Sonia]
Generated description
Love Sonia is a 2018 Indian drama film that follows a young village girl’s harrowing journey through the global sex trafficking underworld.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love Sonia Target entity description: Love Sonia is a 2018 Indian drama film that follows a young village girl’s harrowing journey through the global sex trafficking underworld.
-
A.
Love, Antosha
Love, Antosha is a 2019 documentary film that chronicles the life and career of actor Anton Yelchin through home videos, interviews, and personal writings.
-
B.
Larina
Larina is a Russian surname most notably borne by Anna Larina, the widow of Bolshevik leader Nikolai Bukharin.
-
C.
Marliana
Marliana is a small Italian municipality in the Tuscany region, known for its hilly landscape and historic rural character.
-
D.
Love Child
Love Child is an Australian period drama television series set in a 1960s Sydney maternity hospital, focusing on the lives of unwed mothers and the staff who care for them.
-
E.
Love Child
"Love Child" is a memoir by American actress Mackenzie Phillips in which she recounts her turbulent childhood, struggles with addiction, and complex family relationships.
- 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.