Triple

T27693475
Position Surface form Disambiguated ID Type / Status
Subject Erich Krueger E698219 entity
Predicate appearsIn P795 FINISHED
Object A Cry in the Night
A Cry in the Night is a psychological suspense novel by Mary Higgins Clark that follows a young mother who discovers the dark, obsessive nature of the charismatic artist she has hastily married.
 E124547 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: A Cry in the Night | Statement: [Erich Krueger, appearsIn, A Cry in the Night]
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: A Cry in the Night
Triple: [Erich Krueger, appearsIn, A Cry in the Night]
Generated description
A Cry in the Night is a psychological suspense novel by Mary Higgins Clark that follows a young mother who discovers the dark, obsessive nature of the charismatic artist she has hastily married.

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_69ef590ea74081908f0cd7500d85fa27 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f635798ac88190a8064ecac0f27e07 completed May 2, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12dab72674819096465c51a729f35a completed May 24, 2026, 11:02 a.m.
NEDg Description generation batch_6a12db425798819097c2f19d2aa6baaa completed May 24, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a12dbac16bc8190aa2c654274fbcb3b completed May 24, 2026, 11:06 a.m.
Created at: April 27, 2026, 2:52 p.m.