Triple
T37790665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucie de Mirecourt |
E942076
|
entity |
| Predicate | hasBlackAndWhiteWork |
P3490
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lucie de Mirecourt, hasBlackAndWhiteWork, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBlackAndWhiteWork Context triple: [Lucie de Mirecourt, hasBlackAndWhiteWork, true]
-
A.
workBlackAndWhite
Indicates that the work is presented in black and white rather than in color.
-
B.
blackAndWhite
chosen
Indicates that something is presented or exists in only black and white, without any other colors.
-
C.
hasBlackAndWhiteIllustrations
Indicates that the subject contains or features illustrations rendered in black and white.
-
D.
BlackAndWhiteDaysIncludes
Indicates that certain days are part of a defined set or schedule designated as "black and white days."
-
E.
airedInBlackAndWhite
Indicates that the content was broadcast or presented in black-and-white rather than in color.
- 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_69f76ee5cb0c81909a363d1c929156c0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.