Triple
T37677805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osbourne family |
E938142
|
entity |
| Predicate | hasPrimaryResidenceEra |
P204340
|
FINISHED |
| Object | early 2000s |
—
|
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: early 2000s | Statement: [Osbourne family, hasPrimaryResidenceEra, early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryResidenceEra Context triple: [Osbourne family, hasPrimaryResidenceEra, early 2000s]
-
A.
hasAncestralResidence
Indicates that an entity has a residence or dwelling place that belonged to or was established by its ancestors.
-
B.
usedAsResidenceInCentury
Indicates that something served as a residence during a specified century.
-
C.
livedInEra
Indicates that an entity existed or was active during a particular historical era or time period.
-
D.
hasTraditionalResidenceType
Indicates that an entity is associated with a particular customary or historically established type of residence.
-
E.
timePeriodLivedIn
Indicates the time span or historical period during which an entity existed or was alive.
- F. None of above. chosen
Provenance (4 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_69f76ed7b1408190ba8c93c53cb8becf |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.