Triple

T32597778
Position Surface form Disambiguated ID Type / Status
Subject Richard Martin Stern E833269 entity
Predicate notableWork P4 FINISHED
Object You Don’t Need an Enemy
"You Don’t Need an Enemy" is a novel by American author Richard Martin Stern, best known for his suspenseful and often disaster-themed fiction.
 E2014442 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: You Don’t Need an Enemy | Statement: [Richard Martin Stern, notableWork, You Don’t Need an Enemy]
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: You Don’t Need an Enemy
Triple: [Richard Martin Stern, notableWork, You Don’t Need an Enemy]
Generated description
"You Don’t Need an Enemy" is a novel by American author Richard Martin Stern, best known for his suspenseful and often disaster-themed fiction.

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_69f3492ab63c8190aec24d5003b47c29 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c69775b48190a940a490e9514992 completed May 3, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34860f21b88190910b0993270118e6 completed June 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a3486a95ecc8190b58597914c9a809c completed June 19, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a348767eeb08190b80bf696b49d1f21 completed June 19, 2026, 12:03 a.m.
Created at: May 1, 2026, 1:05 a.m.