Triple
T35765314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weller Martin |
E1033999
|
entity |
| Predicate | oftenExpresses |
P55019
|
FINISHED |
| Object | bitterness about his life |
—
|
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: bitterness about his life | Statement: [Weller Martin, oftenExpresses, bitterness about his life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenExpresses Context triple: [Weller Martin, oftenExpresses, bitterness about his life]
-
A.
oftenExpressedAs
Indicates that one thing is frequently represented, stated, or manifested in the form of another.
-
B.
expresses
Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
-
C.
oftenSays
chosen
Indicates that one entity frequently makes a particular statement or remark, or regularly expresses a certain idea or phrase.
-
D.
oftenFrom
Indicates that something frequently originates, derives, or comes from a particular source or location.
-
E.
oftenDescribes
Indicates that one entity is frequently used to characterize, depict, or provide information about another entity.
- 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_69f76e13edd081909101629aa829c4ad |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
Created at: May 3, 2026, 4:06 p.m.