Triple
T19186393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niall of the Nine Hostages |
E469712
|
entity |
| Predicate | epithetOrigin |
P107468
|
FINISHED |
| Object | reputed to have taken nine hostages from subject peoples |
—
|
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: reputed to have taken nine hostages from subject peoples | Statement: [Niall of the Nine Hostages, epithetOrigin, reputed to have taken nine hostages from subject peoples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epithetOrigin Context triple: [Niall of the Nine Hostages, epithetOrigin, reputed to have taken nine hostages from subject peoples]
-
A.
hasEpithetOrigin
chosen
Indicates that the origin or source of an epithet (a descriptive name or label) is specified for an entity.
-
B.
epithetAppliedBy
Indicates that a particular epithet or descriptive label is used or assigned by a specific agent to a target entity.
-
C.
reasonForEpithet
Indicates the cause, motivation, or circumstance that explains why a particular epithet is applied to an entity.
-
D.
eponymFor
Indicates that one entity gives its name to another entity, which is then named after it.
-
E.
hasMeaningOfEpithet
Indicates that one entity expresses or conveys the meaning or sense of another entity’s epithet.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f620f1f08190a0daaf0d1483d724 |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.