Triple
T14408821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pericopes of Henry II |
E357270
|
entity |
| Predicate | illuminationMedium |
P114137
|
FINISHED |
| Object | gold leaf |
—
|
LITERAL 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: gold leaf | Statement: [Pericopes of Henry II, illuminationMedium, gold leaf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illuminationMedium Context triple: [Pericopes of Henry II, illuminationMedium, gold leaf]
-
A.
illuminationCondition
Indicates the lighting or brightness conditions under which an event, observation, or interaction takes place.
-
B.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
-
C.
lightingRequirement
Indicates the level or type of light that is needed for something to function, grow, or be used properly.
-
D.
illuminate
Indicates causing something to emit or reflect light so that it becomes visible or better lit.
-
E.
lightRange
Indicates the distance or area over which a light source effectively emits or illuminates.
- F. None of above. chosen
Provenance (4 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90c7a068819081b4b516983a1412 |
completed | April 14, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69de2aa1b57881909a033eac8545c417 |
completed | April 14, 2026, 11:53 a.m. |
| PDg | Predicate description generation | batch_69de2e08b6c08190bb4c929deab236a6 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:17 a.m.