Triple
T8559095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vikram (2022 film) |
E202645
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Agent Vikram
Agent Vikram is a fictional intelligence officer and the central protagonist of the 2022 Indian action thriller film "Vikram."
|
E743922
|
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: Agent Vikram | Statement: [Vikram (2022 film), featuresCharacter, Agent Vikram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agent Vikram Context triple: [Vikram (2022 film), featuresCharacter, Agent Vikram]
-
A.
Veer
Veer is an honorific title in India signifying bravery and valor, often bestowed on distinguished warriors or freedom fighters such as Kunwar Singh.
-
B.
Agent 355
Agent 355 is a skilled and enigmatic covert operative from the Culper Ring who serves as Yorick Brown’s protector in the post-apocalyptic comic series "Y: The Last Man."
-
C.
Agent 326
Agent 326 is a fictional spy character known for undertaking covert missions and espionage activities.
-
D.
Ashvajit
Ashvajit is a Buddhist figure traditionally regarded as one of the early disciples present at the Buddha’s first sermon, the Turning of the Wheel of Dharma.
-
E.
Mehta
Mehta is a common Indian surname associated with various communities, often linked to professions such as merchants, accountants, and administrators.
- 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: Agent Vikram Triple: [Vikram (2022 film), featuresCharacter, Agent Vikram]
Generated description
Agent Vikram is a fictional intelligence officer and the central protagonist of the 2022 Indian action thriller film "Vikram."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agent Vikram Target entity description: Agent Vikram is a fictional intelligence officer and the central protagonist of the 2022 Indian action thriller film "Vikram."
-
A.
Veer
Veer is an honorific title in India signifying bravery and valor, often bestowed on distinguished warriors or freedom fighters such as Kunwar Singh.
-
B.
Agent 355
Agent 355 is a skilled and enigmatic covert operative from the Culper Ring who serves as Yorick Brown’s protector in the post-apocalyptic comic series "Y: The Last Man."
-
C.
Agent 326
Agent 326 is a fictional spy character known for undertaking covert missions and espionage activities.
-
D.
Ashvajit
Ashvajit is a Buddhist figure traditionally regarded as one of the early disciples present at the Buddha’s first sermon, the Turning of the Wheel of Dharma.
-
E.
Mehta
Mehta is a common Indian surname associated with various communities, often linked to professions such as merchants, accountants, and administrators.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9485dd88190bc2cf2adf39d48ee |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce894d82588190b558d5b2dc65eafe |
completed | April 2, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_69ce8a9ce1a08190a579f7f7a0319d01 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8bdf1f148190ac832424661bd8e5 |
completed | April 2, 2026, 3:31 p.m. |
Created at: March 30, 2026, 6:20 p.m.