Triple

T27134830
Position Surface form Disambiguated ID Type / Status
Subject Estelle Manville E681653 entity
Predicate father P120 FINISHED
Object Hiram Edward Manville
Hiram Edward Manville was an American industrialist and businessman, notably associated with the Manville (later Johns-Manville) asbestos and building materials enterprise.
E1758412 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: Hiram Edward Manville | Statement: [Estelle Manville, father, Hiram Edward Manville]
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: Hiram Edward Manville
Triple: [Estelle Manville, father, Hiram Edward Manville]
Generated description
Hiram Edward Manville was an American industrialist and businessman, notably associated with the Manville (later Johns-Manville) asbestos and building materials enterprise.

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_69eefacbcc2081909ebf00daa23f1981 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f62479bbb88190bcad383443cbd638 completed May 2, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1248202b4481908f6e807e76cce810 completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a1249b3e9888190b3bae29310007be4 completed May 24, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_6a124a849c3c81908f1b3acdbaed65f8 completed May 24, 2026, 12:47 a.m.
Created at: April 27, 2026, 9:06 a.m.