Triple
T6896799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Henry Harcourt-Reilly |
E159389
|
entity |
| Predicate | nationalityInferred |
P47716
|
FINISHED |
| Object | British |
—
|
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: British | Statement: [Sir Henry Harcourt-Reilly, nationalityInferred, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityInferred Context triple: [Sir Henry Harcourt-Reilly, nationalityInferred, British]
-
A.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
B.
includedNationality
Indicates that one entity’s set of nationalities contains or encompasses the nationality of another entity.
-
C.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
D.
recognizedAsNationalityInCensusOf
Indicates that an entity was officially recorded or classified as having a particular nationality in the census conducted by a specified authority or at a specified time.
-
E.
nationalityInHumanWorld
chosen
Indicates that one entity has the specified national affiliation or citizenship within the context of the human world.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95ae3f88190b7f5d440f90ae9f9 |
completed | March 27, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:24 p.m.