Triple
T32924671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | letters of Shoghi Effendi |
E842233
|
entity |
| Predicate | compiledIn |
P7164
|
FINISHED |
| Object |
Unfolding Destiny
Unfolding Destiny is a compilation of letters and messages from Shoghi Effendi to the Bahá’ís of the British Isles, documenting the development of the Bahá’í community there.
|
E2027662
|
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: Unfolding Destiny | Statement: [letters of Shoghi Effendi, compiledIn, Unfolding Destiny]
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: Unfolding Destiny Triple: [letters of Shoghi Effendi, compiledIn, Unfolding Destiny]
Generated description
Unfolding Destiny is a compilation of letters and messages from Shoghi Effendi to the Bahá’ís of the British Isles, documenting the development of the Bahá’í community there.
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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d0d980208190b9038470f1e4022e |
completed | May 3, 2026, 4:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34c6a6960c8190a5e1183cf193efa7 |
completed | June 19, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_6a34c85cab748190abd850dca56c39ac |
completed | June 19, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a34c93f41bc81908c366977b4f59d18 |
completed | June 19, 2026, 4:44 a.m. |
Created at: May 1, 2026, 1:20 a.m.