Triple
T31725185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmel of Lisieux |
E809692
|
entity |
| Predicate | hasArchive |
P426
|
FINISHED |
| Object |
letters of Thérèse of Lisieux
The letters of Thérèse of Lisieux are a collection of personal and spiritual correspondence by the French Carmelite nun and mystic, offering insight into her interior life, theology of the “little way,” and path to sainthood.
|
E1974941
|
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: letters of Thérèse of Lisieux | Statement: [Carmel of Lisieux, hasArchive, letters of Thérèse of Lisieux]
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: letters of Thérèse of Lisieux Triple: [Carmel of Lisieux, hasArchive, letters of Thérèse of Lisieux]
Generated description
The letters of Thérèse of Lisieux are a collection of personal and spiritual correspondence by the French Carmelite nun and mystic, offering insight into her interior life, theology of the “little way,” and path to sainthood.
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_69f348e009c8819095d77df52c645b9c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aafbeb3c8190b1344b21e0b3d9d6 |
completed | May 3, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b9473e37481909526e2c715b5196b |
completed | June 12, 2026, 5:09 a.m. |
| NEDg | Description generation | batch_6a2b952e894c8190bdf7b9908acbcb18 |
completed | June 12, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b9599e34c81908b96cf67fd3a9760 |
completed | June 12, 2026, 5:14 a.m. |
Created at: April 30, 2026, 11:19 p.m.