Triple
T10402730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Thomas Cromwell |
E245185
|
entity |
| Predicate | depictsHeadgear |
P31655
|
FINISHED |
| Object | black cap |
—
|
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: black cap | Statement: [Portrait of Thomas Cromwell, depictsHeadgear, black cap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsHeadgear Context triple: [Portrait of Thomas Cromwell, depictsHeadgear, black cap]
-
A.
depictsWeapon
Indicates that one entity visually represents or shows a weapon associated with another entity.
-
B.
depictsName
Indicates that something visually represents or portrays the name of an entity.
-
C.
authorizedHeadgear
Indicates that a particular item of headgear is officially permitted or approved for use in a given context or by a specific authority.
-
D.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
E.
associatedWithHeadgear
chosen
Indicates a relationship where an entity is connected or related to a particular item of headgear, such as by wearing, using, or being characterized by it.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e42da08190a5383df3df6d3c18 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:08 p.m.