Triple
T37520567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of Jonathan Swift |
E932759
|
entity |
| Predicate | hasBiographicalSubjectNationality |
P169460
|
FINISHED |
| Object | Anglo-Irish |
—
|
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: Anglo-Irish | Statement: [Life of Jonathan Swift, hasBiographicalSubjectNationality, Anglo-Irish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBiographicalSubjectNationality Context triple: [Life of Jonathan Swift, hasBiographicalSubjectNationality, Anglo-Irish]
-
A.
hasBiographicalSubjectCitizenship
Indicates that the biographical subject holds or has held citizenship in the specified country or political entity.
-
B.
hasBiographicalSubjectEthnicity
Indicates that the biographical subject is associated with a specific ethnicity.
-
C.
nationalityOfPersonReferredTo
Indicates that one entity is the country or nationality associated with the person referenced by the other entity.
-
D.
isByNationality
chosen
Indicates that one entity has a specified nationality or originates from the country represented by the other entity.
-
E.
nationalityDuringLife
Indicates that a person held a particular nationality for some or all of their lifetime.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:17 p.m.