Triple
T29709800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aalwar |
E751746
|
entity |
| Predicate | characterPlayedByAjithKumar |
P194747
|
FINISHED |
| Object |
Shiva
Shiva is the protagonist portrayed by Ajith Kumar in the Tamil film "Aalwar," known for his transformation from a meek individual into a vengeful vigilante.
|
E1882528
|
NE FINISHED |
How this triple was built (3 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: Shiva | Statement: [Aalwar, characterPlayedByAjithKumar, Shiva]
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: Shiva Triple: [Aalwar, characterPlayedByAjithKumar, Shiva]
Generated description
Shiva is the protagonist portrayed by Ajith Kumar in the Tamil film "Aalwar," known for his transformation from a meek individual into a vengeful vigilante.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedByAjithKumar Context triple: [Aalwar, characterPlayedByAjithKumar, Shiva]
-
A.
characterPlayedByPrabhu
Indicates that a given character is portrayed or acted by the actor Prabhu.
-
B.
leadActorForCharacterKaran
Indicates that the specified person is the lead actor portraying the character named Karan.
-
C.
leadActorForCharacterRahul
Indicates that a person is the lead actor portraying the character named Rahul in a specific production.
-
D.
leadActorForCharacterDevdhar
Indicates that the subject is the primary actor who portrays the character Devdhar.
-
E.
characterPlayedByShrutiHaasan
Indicates that a specific character is portrayed or acted by Shruti Haasan.
- F. None of above. chosen
Provenance (7 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a26aa73fcb8819084c9a9a72d302b9f |
completed | June 8, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a26b0582c708190938ca701d8851333 |
completed | June 8, 2026, 12:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a26bbd97f988190a8542548278aa52a |
completed | June 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
| PDg | Predicate description generation | batch_69fd8640e1d4819081c98f15eeb221ab |
completed | May 8, 2026, 6:44 a.m. |
Created at: April 28, 2026, 7:30 p.m.