Triple

T29559217
Position Surface form Disambiguated ID Type / Status
Subject Jai E749990 entity
Predicate hasWorkedWith P9615 FINISHED
Object Jai’s frequent collaborators include ensemble casts in Tamil cinema
Jai’s frequent collaborators include ensemble casts in Tamil cinema, referring to the groups of Tamil film actors with whom he regularly shares screen space in multi-starrer and ensemble-driven movies.
 E1873870 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: Jai’s frequent collaborators include ensemble casts in Tamil cinema | Statement: [Jai, hasWorkedWith, Jai’s frequent collaborators include ensemble casts in Tamil cinema]
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: Jai’s frequent collaborators include ensemble casts in Tamil cinema
Triple: [Jai, hasWorkedWith, Jai’s frequent collaborators include ensemble casts in Tamil cinema]
Generated description
Jai’s frequent collaborators include ensemble casts in Tamil cinema, referring to the groups of Tamil film actors with whom he regularly shares screen space in multi-starrer and ensemble-driven movies.

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_69f0bd4919e48190942b2a13d5b97d03 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66d1c12688190a93492438e18b74e completed May 2, 2026, 9:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a262d6376d4819087d1768896f38d34 completed June 8, 2026, 2:48 a.m.
NEDg Description generation batch_6a2631635b348190a628533ebaab1a6b completed June 8, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a26358d611c8190904db2b471839ee3 completed June 8, 2026, 3:22 a.m.
Created at: April 28, 2026, 5:18 p.m.