Triple

T9117360
Position Surface form Disambiguated ID Type / Status
Subject Signs E218752 entity
Predicate character P662 FINISHED
Object Ray Reddy
Ray Reddy is a supporting character in the film "Signs," known for his pivotal role in the tragic backstory that shapes the protagonist’s crisis of faith.
E779816 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: Ray Reddy | Statement: [Signs, character, Ray Reddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Reddy
Context triple: [Signs, character, Ray Reddy]
  • A. Revanth Reddy
    Revanth Reddy is an Indian politician from the Indian National Congress who serves as the Chief Minister of Telangana.
  • B. Naveen Vikram
    Naveen Vikram is an actor known for his role in the acclaimed Tamil film "Super Deluxe."
  • C. Karthik Bala
    Karthik Bala is a video game developer and entrepreneur best known as the co-founder of the game studio Vicarious Visions.
  • D. Venkatesh Prabhu Kasthuri Raja
    Venkatesh Prabhu Kasthuri Raja is the birth name of Dhanush, a prominent Indian actor, producer, director, lyricist, and playback singer primarily associated with Tamil cinema.
  • E. Allu Arjun
    Allu Arjun is a popular Indian film actor renowned for his charismatic performances and exceptional dancing skills in Telugu cinema.
  • 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: Ray Reddy
Triple: [Signs, character, Ray Reddy]
Generated description
Ray Reddy is a supporting character in the film "Signs," known for his pivotal role in the tragic backstory that shapes the protagonist’s crisis of faith.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ray Reddy
Target entity description: Ray Reddy is a supporting character in the film "Signs," known for his pivotal role in the tragic backstory that shapes the protagonist’s crisis of faith.
  • A. Revanth Reddy
    Revanth Reddy is an Indian politician from the Indian National Congress who serves as the Chief Minister of Telangana.
  • B. Naveen Vikram
    Naveen Vikram is an actor known for his role in the acclaimed Tamil film "Super Deluxe."
  • C. Karthik Bala
    Karthik Bala is a video game developer and entrepreneur best known as the co-founder of the game studio Vicarious Visions.
  • D. Venkatesh Prabhu Kasthuri Raja
    Venkatesh Prabhu Kasthuri Raja is the birth name of Dhanush, a prominent Indian actor, producer, director, lyricist, and playback singer primarily associated with Tamil cinema.
  • E. Allu Arjun
    Allu Arjun is a popular Indian film actor renowned for his charismatic performances and exceptional dancing skills in Telugu cinema.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a5e2ac8190b602ef0c77deb2fa completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0307299ec8190acade4f388642e23 completed April 3, 2026, 9:26 p.m.
NEDg Description generation batch_69d034941af48190b612bdeb4e2a1648 completed April 3, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69d035250d1481908a7a0e108360192e completed April 3, 2026, 9:46 p.m.
Created at: March 30, 2026, 7:17 p.m.