Triple
T9371708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heather |
E225544
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Hetty |
E377823
|
NE 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: Hetty | Statement: [Heather, hasDiminutive, Hetty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hetty Context triple: [Heather, hasDiminutive, Hetty]
-
A.
Hetty
chosen
Hetty is a common English diminutive form of the female given name Henrietta.
-
B.
Hetty Sorrel
Hetty Sorrel is a beautiful but vain and tragically flawed young dairymaid whose romantic entanglements drive much of the drama in George Eliot’s novel "Adam Bede."
-
C.
Hetty Hutter
Hetty Hutter is a pious, simple-minded young frontier woman in James Fenimore Cooper’s novel "The Deerslayer," known for her innocence and moral steadfastness amid the violence of early American wilderness life.
-
D.
Betsy
Betsy is a common diminutive or nickname for the given name Elizabeth.
-
E.
Betsy
Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5083cbb8819088e8cef26be1b380 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f41a6ca4819092bae8640136e964 |
completed | April 4, 2026, 11:20 a.m. |
Created at: March 30, 2026, 7:43 p.m.