Triple

T26536314
Position Surface form Disambiguated ID Type / Status
Subject Anne Crawford E671259 entity
Predicate notableWork P4 FINISHED
Object The Night Won’t Talk
The Night Won’t Talk is a 1952 British crime film, also known as "Murder on the Number Three," in which Anne Crawford stars in a tense whodunit about the murder of a young artist’s model.
 E1728919 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 Night Won’t Talk | Statement: [Anne Crawford, notableWork, The Night Won’t Talk]
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 Night Won’t Talk
Triple: [Anne Crawford, notableWork, The Night Won’t Talk]
Generated description
The Night Won’t Talk is a 1952 British crime film, also known as "Murder on the Number Three," in which Anne Crawford stars in a tense whodunit about the murder of a young artist’s model.

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_69eeb3206e748190b90c85cc81f38c91 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f613fc19d08190a90a8dcac0b8e8d5 completed May 2, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb5317b481908399a599fd43e06e completed May 23, 2026, 2:36 p.m.
NEDg Description generation batch_6a11be7383f8819080e9eac79cf66e5e completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11c02630cc81908b494c66f63abf6b completed May 23, 2026, 2:56 p.m.
Created at: April 27, 2026, 1:38 a.m.