Triple
T35095086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Farebrother |
E1012844
|
entity |
| Predicate | showsIntegrityIn |
P171300
|
FINISHED |
| Object | stepping aside for Fred Vincy |
—
|
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: stepping aside for Fred Vincy | Statement: [Mr. Farebrother, showsIntegrityIn, stepping aside for Fred Vincy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsIntegrityIn Context triple: [Mr. Farebrother, showsIntegrityIn, stepping aside for Fred Vincy]
-
A.
providesIntegrity
Indicates that one entity ensures the correctness, consistency, and protection from unauthorized alteration of another entity or its data.
-
B.
usesIntegrityCheck
Indicates that an entity employs a mechanism to verify the integrity or correctness of data, code, or operations.
-
C.
integrity
Indicates that an entity or relationship maintains wholeness, consistency, and freedom from corruption or unauthorized alteration.
-
D.
wasShownInconsistentBy
Indicates that one entity demonstrated or revealed inconsistency in the behavior, statements, or properties of another entity.
-
E.
showsQuality
chosen
Indicates that one entity exhibits, displays, or makes evident a particular quality or characteristic of 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:01 p.m.