Triple
T6875116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roderick Spode |
E158652
|
entity |
| Predicate | hasSecretOccupation |
P66757
|
FINISHED |
| Object | designer of ladies' underclothing |
—
|
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: designer of ladies' underclothing | Statement: [Roderick Spode, hasSecretOccupation, designer of ladies' underclothing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecretOccupation Context triple: [Roderick Spode, hasSecretOccupation, designer of ladies' underclothing]
-
A.
hasSecretFacility
Indicates that an entity possesses or controls a hidden or undisclosed facility.
-
B.
hasNotableBearerOccupation
Indicates that an entity is associated with a notable person who holds a specific occupation.
-
C.
hasTypeOfSecrecy
Indicates that something is associated with a particular kind or level of secrecy.
-
D.
knowsSecret
Indicates that one entity is aware of confidential or hidden information about another entity or situation.
-
E.
allegedOccupation
chosen
Indicates that one entity is claimed or reported to be the occupation or job role of another entity, without asserting that this claim is necessarily true.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c9e7b481909079b0f1fb1bc217 |
completed | March 27, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:22 p.m.