Triple
T25711429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne |
E644740
|
entity |
| Predicate | oftenComfortedBy |
P12480
|
FINISHED |
| Object | Dick |
—
|
NE NERFINISHED |
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: Dick | Statement: [Anne, oftenComfortedBy, Dick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenComfortedBy Context triple: [Anne, oftenComfortedBy, Dick]
-
A.
relativeComfort
Indicates a comparative relationship where one entity is judged to be more or less comfortable than another under given conditions.
-
B.
usuallyAccompaniedBy
Indicates that one entity is commonly or habitually found together with, or occurs in the presence of, another entity.
-
C.
oftenAccompaniedBy
Indicates that one entity is frequently found together with, occurs alongside, or is commonly associated in presence or use with another entity.
-
D.
oftenHelps
Indicates that one entity frequently provides assistance or support to another.
-
E.
relievedBy
chosen
Indicates that one entity eases, reduces, or removes the burden, pain, stress, or responsibility experienced by 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 21, 2026, 9:14 p.m.