Triple

T26951445
Position Surface form Disambiguated ID Type / Status
Subject Death of the author E678785 entity
Predicate keyText P13682 FINISHED
Object "The Death of the Author" essay
"The Death of the Author" is a seminal 1967 literary essay by Roland Barthes that argues a text’s meaning should be derived from the reader’s interpretation rather than the author’s intentions.
E1748200 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 Death of the Author" essay | Statement: [Death of the author, keyText, "The Death of the Author" essay]
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 Death of the Author" essay
Triple: [Death of the author, keyText, "The Death of the Author" essay]
Generated description
"The Death of the Author" is a seminal 1967 literary essay by Roland Barthes that argues a text’s meaning should be derived from the reader’s interpretation rather than the author’s intentions.

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_69eeeb4e75f08190b14fc91ca4a91488 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62089ffe48190b0f7ea25369b1fbf completed May 2, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121ece10f481908a3995969a09a319 completed May 23, 2026, 9:40 p.m.
NEDg Description generation batch_6a121f3c0dfc81908768b2670cb24b20 completed May 23, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_6a1220284ddc819085b3ca2cad3fbfa9 completed May 23, 2026, 9:46 p.m.
Created at: April 27, 2026, 6:24 a.m.