Triple
T34187864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Perrottet |
E877010
|
entity |
| Predicate | familySizeDescription |
P99671
|
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: [Helen Perrottet, familySizeDescription, large family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familySizeDescription Context triple: [Helen Perrottet, familySizeDescription, large family]
-
A.
familySize
Indicates the number of individuals that belong to a given family unit.
-
B.
familyType
Indicates the specific familial relationship or category that characterizes how the related entities are connected as family.
-
C.
familyDescription
chosen
Indicates a descriptive statement that characterizes or summarizes the nature, structure, or dynamics of a family relationship.
-
D.
macroFamilySize
Indicates the total number of distinct families or family-level groupings contained within a larger macro-level family or classification.
-
E.
familyRank
Indicates the hierarchical position or status an entity holds within a family or kinship structure.
- 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 1, 2026, 1:55 a.m.