Triple
T19741329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Harling |
E474126
|
entity |
| Predicate | hasFamilyMember |
P7844
|
FINISHED |
| Object | Mr. Harling |
—
|
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: Mr. Harling | Statement: [Frances Harling, hasFamilyMember, Mr. Harling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Harling Context triple: [Frances Harling, hasFamilyMember, Mr. Harling]
-
A.
Mr. Harling
chosen
Mr. Harling is a prosperous, energetic merchant and the head of the Harling family in Willa Cather’s novel "My Ántonia," known for his strict yet fundamentally kind-hearted nature.
-
B.
Harold Turpin
Harold Turpin is an alias used by Harold Finch, the reclusive billionaire software genius from the TV series "Person of Interest."
-
C.
Mr. Lloyd
Mr. Lloyd is a character in the film "The Wedding Party," contributing to the story’s ensemble of wedding guests and their intertwined relationships.
-
D.
Harold Tennant
Harold Tennant was a British Liberal politician and government minister in the early 20th century, associated with the administration of H. H. Asquith.
-
E.
Mr. Hall
Mr. Hall is a character in the stage musical "Clueless," portrayed as a well-meaning but strict high school teacher who becomes the target of a matchmaking scheme.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6516159c8819090022094aa91902b |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.