Triple
T5680390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modern English |
E125183
|
entity |
| Predicate | hasMoodSystem |
P65726
|
FINISHED |
| Object | indicative mood dominant |
—
|
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: indicative mood dominant | Statement: [Modern English, hasMoodSystem, indicative mood dominant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMoodSystem Context triple: [Modern English, hasMoodSystem, indicative mood dominant]
-
A.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
B.
hasMoodCategory
Indicates that an entity is associated with a particular mood classification or emotional category.
-
C.
featuresMood
Indicates that something includes, presents, or conveys a particular mood or emotional atmosphere.
-
D.
hasMob
Indicates that an entity possesses, controls, or is associated with a particular mob or group of mobile agents.
-
E.
hasHouseSystem
Indicates that one entity possesses, uses, or is associated with a particular house system.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:44 p.m.