Triple
T22218220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Harper |
E549133
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Harper family |
—
|
NE NERFINISHED |
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: Harper family | Statement: [John Harper, memberOf, Harper family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harper family Context triple: [John Harper, memberOf, Harper family]
-
A.
Harper family
chosen
The Harper family is a prominent American publishing dynasty best known for establishing the influential publishing house that evolved into HarperCollins.
-
B.
the Harper family
The Harper family is a fictional household featured in the "Mama's Family" television series, known for their humorous small-town dynamics and colorful neighbors.
-
C.
Hart family
The Hart family is a prominent American entertainment family best known for including comedian and actor Kevin Hart and his children.
-
D.
Hart family
The Hart family is a prominent American political and social dynasty from Kentucky, known for producing influential figures in early U.S. history.
-
E.
Hart family
The Hart family is a prominent Canadian wrestling dynasty known for producing numerous influential professional wrestlers and trainers across multiple generations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8ddb448190a45f0418d813afd0 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.