Triple

T37040024
Position Surface form Disambiguated ID Type / Status
Subject William March E916752 entity
Predicate notableWork P4 FINISHED
Object Come in at the Door
"Come in at the Door" is a Southern Gothic novel by American author William March, known for its dark psychological themes and portrayal of life in the rural American South.
 E2211315 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: Come in at the Door | Statement: [William March, notableWork, Come in at the Door]
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: Come in at the Door
Triple: [William March, notableWork, Come in at the Door]
Generated description
"Come in at the Door" is a Southern Gothic novel by American author William March, known for its dark psychological themes and portrayal of life in the rural American South.

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_69f76e93ec4c8190be81cf87354d9155 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb58fa6dfc81909813d1a50f47ca3c completed May 6, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c4198888190bce697c66b483abf completed June 26, 2026, 2:27 p.m.
NEDg Description generation batch_6a3e9b2f106c8190bffd617ea27ae22f completed June 26, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a3ef0f2bb648190a53133e725dedf41 completed June 26, 2026, 9:36 p.m.
Created at: May 3, 2026, 4:14 p.m.