Triple
T22395927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love and Monsters |
E553628
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
S. M. Sreekumar
S. M. Sreekumar is an editor known for his work on the anthology "Love and Monsters."
|
E1533488
|
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: S. M. Sreekumar | Statement: [Love and Monsters, editedBy, S. M. Sreekumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S. M. Sreekumar Context triple: [Love and Monsters, editedBy, S. M. Sreekumar]
-
A.
K. T. Kunjumon
K. T. Kunjumon is an Indian film producer known for backing several high-budget and commercially successful Tamil films in the 1990s.
-
B.
K. S. Ravikumar
K. S. Ravikumar is a prominent Indian film director and screenwriter best known for his commercially successful and influential Tamil-language movies.
-
C.
K. U. Mohanan
K. U. Mohanan is an acclaimed Indian cinematographer known for his visually striking work in Hindi and Malayalam cinema.
-
D.
S. S. Rajendran
S. S. Rajendran was a prominent Indian Tamil film actor, stage artist, and politician known for his influential roles in mid-20th-century Tamil cinema and public life.
-
E.
Rasool Pookutty
Rasool Pookutty is an Academy Award–winning Indian sound designer and mixer renowned for his work on films such as "Slumdog Millionaire."
- 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: S. M. Sreekumar Triple: [Love and Monsters, editedBy, S. M. Sreekumar]
Generated description
S. M. Sreekumar is an editor known for his work on the anthology "Love and Monsters."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S. M. Sreekumar Target entity description: S. M. Sreekumar is an editor known for his work on the anthology "Love and Monsters."
-
A.
K. T. Kunjumon
K. T. Kunjumon is an Indian film producer known for backing several high-budget and commercially successful Tamil films in the 1990s.
-
B.
K. S. Ravikumar
K. S. Ravikumar is a prominent Indian film director and screenwriter best known for his commercially successful and influential Tamil-language movies.
-
C.
K. U. Mohanan
K. U. Mohanan is an acclaimed Indian cinematographer known for his visually striking work in Hindi and Malayalam cinema.
-
D.
S. S. Rajendran
S. S. Rajendran was a prominent Indian Tamil film actor, stage artist, and politician known for his influential roles in mid-20th-century Tamil cinema and public life.
-
E.
Rasool Pookutty
Rasool Pookutty is an Academy Award–winning Indian sound designer and mixer renowned for his work on films such as "Slumdog Millionaire."
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585e84b081908c95ed3e0d987ed8 |
completed | April 29, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9c6ad5481909d8138fd1d05bcca |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aea3e17208190a0f4977d4117e7fc |
completed | May 18, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeaa0110c8190b796ea8d52471ca1 |
completed | May 18, 2026, 10:32 a.m. |
Created at: April 16, 2026, 8:45 p.m.