Triple
T16497058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poor Little Rich Girl |
E400709
|
entity |
| Predicate | describesFamilyBackground |
P13742
|
FINISHED |
| Object | Woolworth retail fortune |
—
|
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: Woolworth retail fortune | Statement: [Poor Little Rich Girl, describesFamilyBackground, Woolworth retail fortune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesFamilyBackground Context triple: [Poor Little Rich Girl, describesFamilyBackground, Woolworth retail fortune]
-
A.
familyBackgroundDetail
Indicates detailed information about an entity’s family background, such as lineage, upbringing, or familial circumstances.
-
B.
hasFamilyBackgroundIn
chosen
Indicates that an entity comes from, or is associated with, a particular familial or ancestral background.
-
C.
familyDescription
Indicates a descriptive statement that characterizes or summarizes the nature, structure, or dynamics of a family relationship.
-
D.
loveInterestFamilyBackground
Indicates that information is being provided about the family background of a person's romantic partner or love interest.
-
E.
typicalAncestryDescription
Indicates the usual or most common ancestral background associated with an entity.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e343a7c81909e04cbaaa40e2531 |
completed | April 18, 2026, 7:09 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.