Triple
T17908305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheese |
E447756
|
entity |
| Predicate | alignmentWithBlooregard Q. Kazoo |
P129258
|
FINISHED |
| Object | antagonistic nuisance |
—
|
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: antagonistic nuisance | Statement: [Cheese, alignmentWithBlooregard Q. Kazoo, antagonistic nuisance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alignmentWithBlooregard Q. Kazoo Context triple: [Cheese, alignmentWithBlooregard Q. Kazoo, antagonistic nuisance]
-
A.
eraAlignment
Indicates that two entities are associated with, or correspond to, the same historical or temporal era.
-
B.
الملحن
Indicates that an entity is the composer or creator of a musical work for another entity (such as a song, piece, or performance).
-
C.
boggart
Indicates a transformative or illusory relationship where an entity manifests as, or is perceived in the form of, a boggart-like fear-inducing apparition.
-
D.
أُلغي
Indicates that an action, event, or arrangement has been canceled or annulled.
-
E.
speaksWith
Indicates that one entity engages in spoken communication or conversation with another entity.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9e4c9881908bfc3a83809d6b85 |
completed | April 19, 2026, 9:21 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db77df0c819084548168c62b398c |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:19 a.m.