Triple

T31641378
Position Surface form Disambiguated ID Type / Status
Subject Lawrence Kasanoff E807464 entity
Predicate knownFor P22 FINISHED
Object Mother’s Boys (1994 film)
Mother’s Boys (1994 film) is a 1994 psychological thriller about a manipulative mother who returns to reclaim her family, starring Jamie Lee Curtis and directed by Yves Simoneau.
 E1971139 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: Mother’s Boys (1994 film) | Statement: [Lawrence Kasanoff, knownFor, Mother’s Boys (1994 film)]
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: Mother’s Boys (1994 film)
Triple: [Lawrence Kasanoff, knownFor, Mother’s Boys (1994 film)]
Generated description
Mother’s Boys (1994 film) is a 1994 psychological thriller about a manipulative mother who returns to reclaim her family, starring Jamie Lee Curtis and directed by Yves Simoneau.

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_69f348d9ce58819093ea2da83cbeeec1 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a91b0a648190864338e252f7a4a1 completed May 3, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b79dcdc188190aa89e3bbcf642048 completed June 12, 2026, 3:15 a.m.
NEDg Description generation batch_6a2b7b4089e08190900d25e60ae9aaa9 completed June 12, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_6a2b7c947858819091eb97bfa084e5a9 completed June 12, 2026, 3:27 a.m.
Created at: April 30, 2026, 10:49 p.m.