Triple
T25366428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Turkish Slave |
E636111
|
entity |
| Predicate | misleadingTitle |
P41085
|
FINISHED |
| Object | the sitter is not an actual slave |
—
|
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: the sitter is not an actual slave | Statement: [The Turkish Slave, misleadingTitle, the sitter is not an actual slave]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: misleadingTitle Context triple: [The Turkish Slave, misleadingTitle, the sitter is not an actual slave]
-
A.
misrepresentedAs
chosen
Indicates that one entity is falsely or inaccurately presented, portrayed, or described as another entity or in another way.
-
B.
titleImplies
Indicates that holding or being assigned a particular title suggests or entails a certain role, status, or set of responsibilities.
-
C.
aimedTitle
Indicates that one entity is the intended or targeted title or heading associated with another entity.
-
D.
attemptedTitle
Indicates that an entity tried or intended to assume, claim, or use a particular title, but did not necessarily do so successfully.
-
E.
claimedTitle
Indicates that an entity asserts or declares possession of a particular title or rank.
- 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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4a10eb1748190aa576850282c808d |
completed | May 1, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:37 p.m.