Triple

T34284826
Position Surface form Disambiguated ID Type / Status
Subject Tanghalang Huseng Batute E879703 entity
Predicate namedAfter P63 FINISHED
Object José Corazón de Jesús
José Corazón de Jesús was a renowned Filipino poet and lyricist, celebrated as one of the greatest Tagalog writers and often called the “King of Balagtasan.”
E2090247 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: José Corazón de Jesús | Statement: [Tanghalang Huseng Batute, namedAfter, José Corazón de Jesús]
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: José Corazón de Jesús
Triple: [Tanghalang Huseng Batute, namedAfter, José Corazón de Jesús]
Generated description
José Corazón de Jesús was a renowned Filipino poet and lyricist, celebrated as one of the greatest Tagalog writers and often called the “King of Balagtasan.”

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_69f349b5f6648190b9420d94a4cd16e0 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7130d60c88190ab9682ba8c9fc7d8 completed May 3, 2026, 9:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36e62ff9d881909b608f8475188d2b completed June 20, 2026, 7:12 p.m.
NEDg Description generation batch_6a36f2221ce88190963ebdae39f691e1 completed June 20, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_6a36f28e08c881909ea51ccaccb891a8 completed June 20, 2026, 8:05 p.m.
Created at: May 1, 2026, 1:57 a.m.