Triple

T29981126
Position Surface form Disambiguated ID Type / Status
Subject Mary Kay Place E761592 entity
Predicate notableWork P4 FINISHED
Object The Promised Land
The Promised Land is a 1975 Polish drama film directed by Andrzej Wajda, adapted from Władysław Reymont’s novel about three friends striving to build a textile empire in 19th-century Łódź.
 E1894693 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: The Promised Land | Statement: [Mary Kay Place, notableWork, The Promised Land]
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: The Promised Land
Triple: [Mary Kay Place, notableWork, The Promised Land]
Generated description
The Promised Land is a 1975 Polish drama film directed by Andrzej Wajda, adapted from Władysław Reymont’s novel about three friends striving to build a textile empire in 19th-century Łódź.

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_69f2246851148190b8e76206db94b105 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f678d92c4c8190854b1d388e659b7a completed May 2, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2721fdaa2881908d465ebb5e7136e5 completed June 8, 2026, 8:11 p.m.
NEDg Description generation batch_6a272483ef2481908fa5f2e09c273ef7 completed June 8, 2026, 8:22 p.m.
NED2 Entity disambiguation (via description) batch_6a272512c6ac81908639e792b8f464ab completed June 8, 2026, 8:24 p.m.
Created at: April 29, 2026, 6:35 p.m.