Triple
T18100079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter McCallister |
E433190
|
entity |
| Predicate | householdSize |
P19346
|
FINISHED |
| Object | large family |
—
|
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: large family | Statement: [Peter McCallister, householdSize, large family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: householdSize Context triple: [Peter McCallister, householdSize, large family]
-
A.
familySize
chosen
Indicates the number of individuals that belong to a given family unit.
-
B.
macroFamilySize
Indicates the total number of distinct families or family-level groupings contained within a larger macro-level family or classification.
-
C.
householdStatus
Indicates the type or condition of a person’s living arrangement within a household, such as their role, membership, or current residency status.
-
D.
houseOrFamily
Indicates that two entities are related through a shared house, household, or family membership.
-
E.
householdTypeAtNumber4
Indicates the type or classification of the household associated with entity number 4.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb5e6208190b3c3cce3b95d66ad |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.