Triple
T106900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Light |
E2157
|
entity |
| Predicate | hasMood |
P7863
|
FINISHED |
| Object | party atmosphere |
—
|
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: party atmosphere | Statement: [Green Light, hasMood, party atmosphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMood Context triple: [Green Light, hasMood, party atmosphere]
-
A.
hasMean
Indicates that one entity possesses, exhibits, or is characterized by a particular mean value or average.
-
B.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
C.
hasAge
Indicates that an entity possesses a specific age value, typically expressed as a number of time units since its birth or creation.
-
D.
hasPerson
Indicates that an entity is associated with or includes a specific person.
-
E.
hasPower
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a25a1199ac8190ac65ffaaf45b4f5b |
completed | Feb. 28, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69a2563e7188819091e9a94e071991d7 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a25a10d6448190bee47847d5c13b84 |
completed | Feb. 28, 2026, 2:59 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.