Triple
T38698360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O’Neill of Tyrone |
E950066
|
entity |
| Predicate | usedSystemOf |
P70167
|
FINISHED |
| Object | tanistry |
—
|
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: tanistry | Statement: [O’Neill of Tyrone, usedSystemOf, tanistry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedSystemOf Context triple: [O’Neill of Tyrone, usedSystemOf, tanistry]
-
A.
usedBySystem
Indicates that something is utilized or operated by a particular system.
-
B.
usedAdministrativeSystemOf
chosen
Indicates that one entity made use of another entity’s administrative system to perform or manage its administrative functions.
-
C.
usesCaseSystem
Indicates that one entity employs or operates using a particular case system (e.g., grammatical or structural case-marking system).
-
D.
usesTraditionalSystem
Indicates that an entity operates according to or relies on a traditional, established system rather than a modern or alternative one.
-
E.
usesDataSystem
Indicates that one entity employs, accesses, or relies on a particular data system to perform its functions or operations.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.