Triple

T38423527
Position Surface form Disambiguated ID Type / Status
Subject José Garcia Villa E903294 entity
Predicate notableWork P4 FINISHED
Object Have Come, Am Here
"Have Come, Am Here" is a celebrated poetry collection by Filipino writer José Garcia Villa, noted for its innovative style and significant contribution to modernist literature.
 E2270321 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: Have Come, Am Here | Statement: [José Garcia Villa, notableWork, Have Come, Am Here]
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: Have Come, Am Here
Triple: [José Garcia Villa, notableWork, Have Come, Am Here]
Generated description
"Have Come, Am Here" is a celebrated poetry collection by Filipino writer José Garcia Villa, noted for its innovative style and significant contribution to modernist literature.

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_69f76e67e4fc8190a7d08dfe9a8af998 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd8c265481909b02be1eb974258b completed May 7, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c28c03348190b223ae6dd7b4e4d8 completed June 29, 2026, 12:55 a.m.
NEDg Description generation batch_6a41c38d00308190aa8cbf6fbc9f081b completed June 29, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_6a41c76fae84819094a9930a06e8ce2f completed June 29, 2026, 1:16 a.m.
Created at: May 3, 2026, 4:31 p.m.