Triple

T8564999
Position Surface form Disambiguated ID Type / Status
Subject Jyothika E202780 entity
Predicate hasChild P369 FINISHED
Object Dev
Dev is the child of Indian actress Jyothika, known for her prominent work in Tamil cinema.
 E746070 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: Dev | Statement: [Jyothika, hasChild, Dev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dev
Context triple: [Jyothika, hasChild, Dev]
  • A. Dev
    Dev is the experimental Google Chrome release channel intended for developers and early adopters to test upcoming features and changes before they reach more stable versions.
  • B. Dev
    Dev is a character from the British television series "Dot."
  • C. Dev
    Dev is a science fiction television miniseries created by Alex Garland that explores themes of determinism, free will, and advanced technology through a mysterious quantum computing company.
  • D. DEV
    DEV is the abbreviation for the OECD Development Centre, a policy-oriented institution that conducts research and dialogue to support sustainable economic and social development worldwide.
  • E. Devio
    Devio is a Biamp Systems product line of conferencing solutions designed to simplify high-quality audio and video collaboration in small meeting and huddle rooms.
  • 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: Dev
Triple: [Jyothika, hasChild, Dev]
Generated description
Dev is the child of Indian actress Jyothika, known for her prominent work in Tamil cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dev
Target entity description: Dev is the child of Indian actress Jyothika, known for her prominent work in Tamil cinema.
  • A. Dev
    Dev is the experimental Google Chrome release channel intended for developers and early adopters to test upcoming features and changes before they reach more stable versions.
  • B. Dev
    Dev is a character from the British television series "Dot."
  • C. Dev
    Dev is a science fiction television miniseries created by Alex Garland that explores themes of determinism, free will, and advanced technology through a mysterious quantum computing company.
  • D. DEV
    DEV is the abbreviation for the OECD Development Centre, a policy-oriented institution that conducts research and dialogue to support sustainable economic and social development worldwide.
  • E. Devio
    Devio is a Biamp Systems product line of conferencing solutions designed to simplify high-quality audio and video collaboration in small meeting and huddle rooms.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea87badf081909727808f0e14ae45 completed April 2, 2026, 5:33 p.m.
NEDg Description generation batch_69cea996a5c48190a12ffe8e282d2d9c completed April 2, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69ceadb2d52c8190aada1d797753663e completed April 2, 2026, 5:56 p.m.
Created at: March 30, 2026, 6:20 p.m.