Triple
T17843843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jayne Houdyshell |
E445603
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Well |
—
|
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: Well | Statement: [Jayne Houdyshell, notableWork, Well]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Well Context triple: [Jayne Houdyshell, notableWork, Well]
-
A.
Well
chosen
Well is a critically acclaimed autobiographical play by Lisa Kron that blends humor and drama to explore themes of illness, identity, and the complexities of mother-daughter relationships.
-
B.
Good for It
"Good for It" is a track featured on the mixtape "NAV" by Canadian rapper and producer Nav.
-
C.
All Shall Be Well
All Shall Be Well is a choral composition by contemporary British composer Roxanna Panufnik, known for its luminous harmonies and spiritually reflective character.
-
D.
Nice Work
Nice Work is a British television drama adaptation of David Lodge's campus novel, featuring Warren Clarke in a leading role.
-
E.
The Wellspring
The Wellspring is a poetry collection by Sharon Olds that explores themes of family, sexuality, and motherhood in her characteristically intimate and emotionally direct style.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ff980048190b496c55b83b3b318 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.