Triple

T27530010
Position Surface form Disambiguated ID Type / Status
Subject Frank Morrison Spillane E694944 entity
Predicate notableWork P4 FINISHED
Object The Last Cop Out
The Last Cop Out is a hardboiled crime novel by Mickey Spillane featuring his trademark gritty, violent style and underworld intrigue.
 E1778933 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 Last Cop Out | Statement: [Frank Morrison Spillane, notableWork, The Last Cop Out]
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 Last Cop Out
Triple: [Frank Morrison Spillane, notableWork, The Last Cop Out]
Generated description
The Last Cop Out is a hardboiled crime novel by Mickey Spillane featuring his trademark gritty, violent style and underworld intrigue.

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_69ef538608b081908b9f659bb09d5e0f completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62f32f4c48190a1cf9004510caab3 completed May 2, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c5b81d688190964a5d5961347a29 completed May 24, 2026, 9:32 a.m.
NEDg Description generation batch_6a12c69ac394819082dae768061147bd completed May 24, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_6a12c7295270819092a8b8ef0e3488a8 completed May 24, 2026, 9:38 a.m.
Created at: April 27, 2026, 1:25 p.m.