Triple

T37959842
Position Surface form Disambiguated ID Type / Status
Subject GMA Artist Center E946976 entity
Predicate affiliation P10 FINISHED
Object GMA Entertainment Group
GMA Entertainment Group is a major Philippine television and multimedia production company under GMA Network, known for creating a wide range of popular drama, variety, and reality programs.
E56238 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: GMA Entertainment Group | Statement: [GMA Artist Center, affiliation, GMA Entertainment Group]
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: GMA Entertainment Group
Triple: [GMA Artist Center, affiliation, GMA Entertainment Group]
Generated description
GMA Entertainment Group is a major Philippine television and multimedia production company under GMA Network, known for creating a wide range of popular drama, variety, and reality programs.

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_69f76ef7062c819091bfacb7e83aa1e0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbdd74e448190b25a3bbd477c4d56 completed May 6, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a438ed3a9fc8190812400ca421634cb completed June 30, 2026, 9:39 a.m.
NEDg Description generation batch_6a438fca6a908190b51edc140f1b34f0 completed June 30, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_6a43924f3ba88190a0017bb6f718a02a completed June 30, 2026, 9:54 a.m.
Created at: May 3, 2026, 4:20 p.m.