Triple
T22347959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Jowitt |
E552443
|
entity |
| Predicate | associatedPartyRoleOfTitleHolder |
P93157
|
FINISHED |
| Object | Labour law officer |
—
|
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: Labour law officer | Statement: [Earl Jowitt, associatedPartyRoleOfTitleHolder, Labour law officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPartyRoleOfTitleHolder Context triple: [Earl Jowitt, associatedPartyRoleOfTitleHolder, Labour law officer]
-
A.
associatedWithTitleHolderRole
chosen
Indicates a relationship where an entity is connected to, or linked with, a role held by a title holder.
-
B.
titleHolderRelationship
Indicates a relationship where one entity holds, possesses, or bears a specific title in connection to another entity or context.
-
C.
relatedTitleOfBearer
Indicates that one title is related to another title held by the same bearer, expressing an associative or contextual connection between those titles.
-
D.
relatedTitleHolder
Indicates that one entity holds a title or position that is related or connected to the title or position held by another entity.
-
E.
titularCharacterOf
Indicates that one entity is the main or title character featured in the work represented by the other entity.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157995bec819080b8d05fa88704ed |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:43 p.m.