Triple

T29200076
Position Surface form Disambiguated ID Type / Status
Subject Florence Bates E740242 entity
Predicate notableWork P4 FINISHED
Object The Brasher Doubloon (1947 film)
The Brasher Doubloon is a 1947 film noir mystery based on Raymond Chandler’s novel "The High Window," featuring detective Philip Marlowe investigating a missing rare coin.
E1854734 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 Brasher Doubloon (1947 film) | Statement: [Florence Bates, notableWork, The Brasher Doubloon (1947 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: The Brasher Doubloon (1947 film)
Triple: [Florence Bates, notableWork, The Brasher Doubloon (1947 film)]
Generated description
The Brasher Doubloon is a 1947 film noir mystery based on Raymond Chandler’s novel "The High Window," featuring detective Philip Marlowe investigating a missing rare coin.

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_69f07cb974108190b7e86ca489a6ebb6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f663c4c37481908462be4bbede5a2b completed May 2, 2026, 8:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2569bbc5888190b1038c113cb6f531 completed June 7, 2026, 12:53 p.m.
NEDg Description generation batch_6a256d8b8ddc8190a850ca34e7563db6 completed June 7, 2026, 1:09 p.m.
NED2 Entity disambiguation (via description) batch_6a256e0d0b188190bfb9d56d5c399d1e completed June 7, 2026, 1:11 p.m.
Created at: April 28, 2026, 12:06 p.m.