Triple
T28151068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Not Mad |
E714620
|
entity |
| Predicate | featuresDarkerTone |
P44222
|
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: [Mad Not Mad, featuresDarkerTone, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDarkerTone Context triple: [Mad Not Mad, featuresDarkerTone, true]
-
A.
hasDarkerTone
chosen
Indicates that one entity possesses a color or shade that is visually darker than that of another entity.
-
B.
featuresDarkProduction
Indicates that something includes or is characterized by a dark or moody style of production.
-
C.
hasDarkAesthetic
Indicates that something embodies or is characterized by a visually dark, moody, or gothic style or atmosphere.
-
D.
isDark
Indicates that an entity possesses a low level of lightness or brightness, making it visually dark.
-
E.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
Created at: April 27, 2026, 9:59 p.m.