Triple
T6420755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metacritic |
E127936
|
entity |
| Predicate | usesColorCoding |
P17352
|
FINISHED |
| Object | green for generally favorable reviews |
—
|
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: green for generally favorable reviews | Statement: [Metacritic, usesColorCoding, green for generally favorable reviews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesColorCoding Context triple: [Metacritic, usesColorCoding, green for generally favorable reviews]
-
A.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
-
B.
usesColorDifferenceSignals
chosen
Indicates that one entity employs differences in color as signals to convey information or communicate.
-
C.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
D.
colorHasMeaning
Indicates that a particular color is associated with or conveys a specific meaning, symbolism, or significance.
-
E.
colorCharge
Indicates a relationship where an entity possesses a specific quantum color charge (such as red, green, or blue) in the context of strong nuclear interactions.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06902ddb48190bd5a8b5ecdf6c39e |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f5d4e481909d1366190607b586 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:43 p.m.