Triple
T22506636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Handel & Hendrix in London |
E556405
|
entity |
| Predicate | HandelResidencePeriod |
P43829
|
FINISHED |
| Object | 1723–1759 |
—
|
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: 1723–1759 | Statement: [Handel & Hendrix in London, HandelResidencePeriod, 1723–1759]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HandelResidencePeriod Context triple: [Handel & Hendrix in London, HandelResidencePeriod, 1723–1759]
-
A.
mainResidencePeriod
chosen
Indicates the time span during which a particular place serves as an entity’s primary or main residence.
-
B.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
-
C.
residencyDuration
Indicates the length of time an entity has continuously resided or stayed in a particular place or jurisdiction.
-
D.
hasResidenceTime
Indicates the duration for which something remains or stays within a particular place, system, or state.
-
E.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or role.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5cddf88190821d9c9fdee84160 |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:50 p.m.