Triple
T19454458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Ives |
E486699
|
entity |
| Predicate | biologicalMotherOf |
P47883
|
FINISHED |
| Object | Jane Hopper |
—
|
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: Jane Hopper | Statement: [Terry Ives, biologicalMotherOf, Jane Hopper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Hopper Context triple: [Terry Ives, biologicalMotherOf, Jane Hopper]
-
A.
Jane Hopper
chosen
Jane Hopper is the birth name and legal identity of Eleven, the telekinetic girl central to the Netflix series "Stranger Things."
-
B.
Rose Loomis
Rose Loomis is the seductive and scheming wife portrayed by Marilyn Monroe in the 1953 film noir "Niagara."
-
C.
Sarah Davenport
Sarah Davenport was the wife of colonial American Congregational minister and educator Eleazar Wheelock, founder of Dartmouth College.
-
D.
Clea Hopkins
Clea Hopkins is the central protagonist of the novel "Touch," around whom the story’s key events and character developments revolve.
-
E.
Marta DuBois
Marta DuBois was a Panamanian-American actress best known for her roles in television series such as "Magnum, P.I." and various TV movies.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c117ac8190a38c01c3191beaea |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.