Triple
T26768589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annals of the Parish |
E675014
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Micah Balwhidder
Micah Balwhidder is the fictional Scottish parish minister who narrates and reflects on rural life and social change in John Galt’s novel "Annals of the Parish."
|
E1739753
|
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: Micah Balwhidder | Statement: [Annals of the Parish, mainCharacter, Micah Balwhidder]
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: Micah Balwhidder Triple: [Annals of the Parish, mainCharacter, Micah Balwhidder]
Generated description
Micah Balwhidder is the fictional Scottish parish minister who narrates and reflects on rural life and social change in John Galt’s novel "Annals of the Parish."
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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6192af84481908f00b324e81db779 |
completed | May 2, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a120952e43c8190a888dedd18d350c3 |
completed | May 23, 2026, 8:08 p.m. |
| NEDg | Description generation | batch_6a1209bac5dc8190a3a0bcd25dc6f9c4 |
completed | May 23, 2026, 8:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a120a7acb6081909b538b1a351a92bd |
completed | May 23, 2026, 8:13 p.m. |
Created at: April 27, 2026, 4:01 a.m.