Triple

T32254216
Position Surface form Disambiguated ID Type / Status
Subject Rebecca Harding Davis E823965 entity
Predicate notableWork P4 FINISHED
Object Life in the Iron Mills
"Life in the Iron Mills" is an 1861 American realist short story by Rebecca Harding Davis that exposes the harsh conditions and social injustices faced by industrial workers in a grim mill town.
 E1999084 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: Life in the Iron Mills | Statement: [Rebecca Harding Davis, notableWork, Life in the Iron Mills]
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: Life in the Iron Mills
Triple: [Rebecca Harding Davis, notableWork, Life in the Iron Mills]
Generated description
"Life in the Iron Mills" is an 1861 American realist short story by Rebecca Harding Davis that exposes the harsh conditions and social injustices faced by industrial workers in a grim mill town.

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_69f3490db0748190bfef6e50c95d39d3 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bc52a83481909b3a4a9f8181b4bd completed May 3, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46d3b480819085838e49bc24b4e7 completed June 15, 2026, 12:26 a.m.
NEDg Description generation batch_6a2f47c3cf7c8190b87bb1fbe0b392dc completed June 15, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_6a2f4841adc08190bb640f6efb2359a0 completed June 15, 2026, 12:33 a.m.
Created at: May 1, 2026, 12:41 a.m.