Triple
T18177579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Junod |
E435202
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Abortionist |
—
|
NE NERFINISHED |
How this triple was built (3 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: The Abortionist | Statement: [Tom Junod, notableWork, The Abortionist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Abortionist Context triple: [Tom Junod, notableWork, The Abortionist]
-
A.
The Good Nurse
The Good Nurse is a 2022 crime drama film based on true events, following a compassionate nurse who helps expose a fellow nurse suspected of being a serial killer.
-
B.
The Crime of Dr. Crespi
The Crime of Dr. Crespi is a 1935 American horror film loosely inspired by Edgar Allan Poe’s "The Premature Burial," featuring a mad doctor’s revenge plot centered on live burial.
-
C.
Dr. Death
Dr. Death is a true-crime drama television series that chronicles the horrifying malpractice of neurosurgeon Dr. Christopher Duntsch and the legal and medical efforts to stop him.
-
D.
The Anatomist
The Anatomist is a play by Scottish dramatist James Bridie that dramatizes the story of the infamous 19th-century body snatchers Burke and Hare and their association with Dr. Robert Knox.
-
E.
When Women Kill
When Women Kill is a 1983 documentary film directed by Lee Grant that examines the lives and circumstances of women incarcerated for committing homicide.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Abortionist Target entity description: "The Abortionist" is a notable work by journalist Tom Junod, likely an in-depth, narrative-style piece examining the people and ethical complexities surrounding abortion.
-
A.
The Good Nurse
The Good Nurse is a 2022 crime drama film based on true events, following a compassionate nurse who helps expose a fellow nurse suspected of being a serial killer.
-
B.
The Crime of Dr. Crespi
The Crime of Dr. Crespi is a 1935 American horror film loosely inspired by Edgar Allan Poe’s "The Premature Burial," featuring a mad doctor’s revenge plot centered on live burial.
-
C.
Dr. Death
Dr. Death is a true-crime drama television series that chronicles the horrifying malpractice of neurosurgeon Dr. Christopher Duntsch and the legal and medical efforts to stop him.
-
D.
The Anatomist
The Anatomist is a play by Scottish dramatist James Bridie that dramatizes the story of the infamous 19th-century body snatchers Burke and Hare and their association with Dr. Robert Knox.
-
E.
When Women Kill
When Women Kill is a 1983 documentary film directed by Lee Grant that examines the lives and circumstances of women incarcerated for committing homicide.
- F. None of above. chosen
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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5a72008190bd2e56205b995a87 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:31 a.m.