Triple
T35178116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir James Chettam |
E1015767
|
entity |
| Predicate | laterDevotionDirectedTo |
P77744
|
FINISHED |
| Object | Celia Brooke |
—
|
NE NERFINISHED |
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: Celia Brooke | Statement: [Sir James Chettam, laterDevotionDirectedTo, Celia Brooke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterDevotionDirectedTo Context triple: [Sir James Chettam, laterDevotionDirectedTo, Celia Brooke]
-
A.
associatedDevotion
Indicates a relationship where one entity is linked to or characterized by a particular devotion, dedication, or religious/spiritual practice connected to another entity.
-
B.
isDevotedTo
chosen
Indicates a strong, enduring commitment or dedication that one entity directs toward another.
-
C.
requestedDevotion
Indicates that one entity has asked another entity to show or commit a particular form or level of devotion.
-
D.
laterRededicatedTo
Indicates that something was originally dedicated to one purpose or entity and, at a later time, was dedicated again to a different purpose or entity.
-
E.
devotionalElement
Indicates a relationship where something serves as or functions as an element used in devotional or religious practice.
- F. None of above.
Provenance (3 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_69f76ddcc108819097f96853b7ed9ef4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a005b2e0a9c819081c6f7ccbef49ff8 |
completed | May 10, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_6a005a8bcde88190ace2bc0215e26430 |
completed | May 10, 2026, 10:14 a.m. |
Created at: May 3, 2026, 4:02 p.m.