Triple

T31609902
Position Surface form Disambiguated ID Type / Status
Subject Martha Strabel Van Cleve E806596 entity
Predicate hasSpouse P13 FINISHED
Object Henry Van Cleve
Henry Van Cleve is best known as the charming, pleasure-seeking protagonist of the 1947 romantic fantasy film "Heaven Can Wait," adapted from a play by his wife, writer Martha Strabel Van Cleve.
 E806595 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: Henry Van Cleve | Statement: [Martha Strabel Van Cleve, hasSpouse, Henry Van Cleve]
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: Henry Van Cleve
Triple: [Martha Strabel Van Cleve, hasSpouse, Henry Van Cleve]
Generated description
Henry Van Cleve is best known as the charming, pleasure-seeking protagonist of the 1947 romantic fantasy film "Heaven Can Wait," adapted from a play by his wife, writer Martha Strabel Van Cleve.

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_69f348d61f2081908cad94bc9ffbb671 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a87216ec8190b1d77ebc7b5d2b3b completed May 3, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b5660baa0819081067b43a1f3c330 completed June 12, 2026, 12:44 a.m.
NEDg Description generation batch_6a2b576541208190a52a5eaecf8962c8 completed June 12, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_6a2b601da44481908fca8a5331ba5b38 completed June 12, 2026, 1:25 a.m.
Created at: April 30, 2026, 10:36 p.m.