Triple
T20793687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Halford |
E511845
|
entity |
| Predicate | leavesWork |
P106805
|
FINISHED |
| Object | eventually retires from UCOS in the series |
—
|
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: eventually retires from UCOS in the series | Statement: [Jack Halford, leavesWork, eventually retires from UCOS in the series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leavesWork Context triple: [Jack Halford, leavesWork, eventually retires from UCOS in the series]
-
A.
leavesEmployer
chosen
Indicates that an employee ends or terminates their working relationship with an employer.
-
B.
leavesIn
Indicates that one entity departs from or exits another entity, such as a place, group, or state, at a particular time or under certain conditions.
-
C.
leaves
Indicates that an entity departs from or goes away from another entity, location, or situation.
-
D.
numberOfLeaves
Indicates the specific count of leaves associated with an entity.
-
E.
lastWork
Indicates that one entity is the most recent work (e.g., creation, project, or publication) associated with another 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2aadd7081908c6343821e8c655c |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:39 p.m.