Triple
T24811063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mueller matrix |
E620787
|
entity |
| Predicate | firstRowRepresents |
P45286
|
FINISHED |
| Object | intensity transformation |
—
|
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: intensity transformation | Statement: [Mueller matrix, firstRowRepresents, intensity transformation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRowRepresents Context triple: [Mueller matrix, firstRowRepresents, intensity transformation]
-
A.
firstLineBeginsWith
Indicates that the first line of a text or document starts with a specified sequence of characters or substring.
-
B.
firstOf
Indicates that one entity is the earliest or initial member in an ordered sequence or collection relative to the others.
-
C.
firstPartRepresents
chosen
Indicates that the initial segment or portion of something stands for, symbolizes, or denotes a larger whole or specific concept.
-
D.
isFirstReportOf
Indicates that the referenced report is the earliest or initial report documenting a particular event, condition, or subject.
-
E.
isFirstToInclude
Indicates that an entity is the earliest or original one to incorporate or contain another specified entity, feature, or element.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 18, 2026, 4:50 a.m.