Triple

T28047957
Position Surface form Disambiguated ID Type / Status
Subject Harold Becker E708733 entity
Predicate directed P7373 FINISHED
Object Domestic Disturbance
Domestic Disturbance is a 2001 American thriller film starring John Travolta as a father who becomes suspicious of his ex-wife’s new husband after their son witnesses a disturbing crime.
 E1801133 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: Domestic Disturbance | Statement: [Harold Becker, directed, Domestic Disturbance]
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: Domestic Disturbance
Triple: [Harold Becker, directed, Domestic Disturbance]
Generated description
Domestic Disturbance is a 2001 American thriller film starring John Travolta as a father who becomes suspicious of his ex-wife’s new husband after their son witnesses a disturbing crime.

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_69ef9b6df9f48190bbb971d02cbe1b65 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f63f3559148190bca6f6c3e45d3961 completed May 2, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15b8bedbb481908af2e694d6138fd3 completed May 26, 2026, 3:14 p.m.
NEDg Description generation batch_6a15bd19b4908190942663430bf54817 completed May 26, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_6a15bfdf6e7481909276897a678b012b completed May 26, 2026, 3:44 p.m.
Created at: April 27, 2026, 8:31 p.m.