Triple
T33758031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nedward Flanders Jr. |
E865029
|
entity |
| Predicate | oftenAnnoys |
P110953
|
FINISHED |
| Object | Homer Simpson |
—
|
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: Homer Simpson | Statement: [Nedward Flanders Jr., oftenAnnoys, Homer Simpson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenAnnoys Context triple: [Nedward Flanders Jr., oftenAnnoys, Homer Simpson]
-
A.
oftenSays
Indicates that one entity frequently makes a particular statement or remark, or regularly expresses a certain idea or phrase.
-
B.
oftenHeckledBy
chosen
Indicates that one entity frequently receives heckling, interruptions, or jeering from another entity.
-
C.
oftenFrom
Indicates that something frequently originates, derives, or comes from a particular source or location.
-
D.
complainsAbout
Indicates that one entity expresses dissatisfaction, criticism, or grievances regarding another entity or situation.
-
E.
oftenHelps
Indicates that one entity frequently provides assistance or support to another.
- 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 1, 2026, 1:45 a.m.