Triple

T29336231
Position Surface form Disambiguated ID Type / Status
Subject The Robot E743912 entity
Predicate leadActorRole P5563 FINISHED
Object Rajinikanth as Chitti
Rajinikanth as Chitti is the iconic portrayal of a super-intelligent humanoid robot by Indian superstar Rajinikanth in the science fiction film "Enthiran" ("The Robot").
E1860573 NE FINISHED

How this triple was built (2 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: Rajinikanth as Chitti | Statement: [The Robot, leadActorRole, Rajinikanth as Chitti]
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: Rajinikanth as Chitti
Triple: [The Robot, leadActorRole, Rajinikanth as Chitti]
Generated description
Rajinikanth as Chitti is the iconic portrayal of a super-intelligent humanoid robot by Indian superstar Rajinikanth in the science fiction film "Enthiran" ("The Robot").

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_69f09126cfcc8190899b16fbf3c2bf7b completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f66923914081909676c70c14a50af4 completed May 2, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a87d1fa08190b62802dff4a2aeb5 completed June 7, 2026, 5:21 p.m.
NEDg Description generation batch_6a25aca3001081909d4218b36207afef completed June 7, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_6a25ad026d9c8190a496c55ca49bf6cf completed June 7, 2026, 5:40 p.m.
Created at: April 28, 2026, 1:31 p.m.