Triple

T35943667
Position Surface form Disambiguated ID Type / Status
Subject His Eye Is on the Sparrow E1039526 entity
Predicate lyricist P1360 FINISHED
Object Civilla Durfee Martin
Civilla Durfee Martin was an early 20th-century Christian hymn writer best known for penning the lyrics to the beloved gospel song "His Eye Is on the Sparrow."
E2167181 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: Civilla Durfee Martin | Statement: [His Eye Is on the Sparrow, lyricist, Civilla Durfee Martin]
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: Civilla Durfee Martin
Triple: [His Eye Is on the Sparrow, lyricist, Civilla Durfee Martin]
Generated description
Civilla Durfee Martin was an early 20th-century Christian hymn writer best known for penning the lyrics to the beloved gospel song "His Eye Is on the Sparrow."

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_69f76e24bbd0819096b837d35371639a completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7abb141b08190ad4a151ed89badf7 completed May 3, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38cb8097a481909eadb0f919376680 completed June 22, 2026, 5:43 a.m.
NEDg Description generation batch_6a38cda2a290819093e64a47c3c27026 completed June 22, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_6a38ce2bd3fc8190a0e3810da50fd3fb completed June 22, 2026, 5:54 a.m.
Created at: May 3, 2026, 4:07 p.m.