Triple
T15211203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clemency |
E363517
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Kathryn Bostic |
E786341
|
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: Kathryn Bostic | Statement: [Clemency, musicBy, Kathryn Bostic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathryn Bostic Context triple: [Clemency, musicBy, Kathryn Bostic]
-
A.
Kathryn Bostic
chosen
Kathryn Bostic is an American composer and pianist known for her evocative film and theater scores, particularly in independent cinema and stage productions.
-
B.
Kathleen Snodgrass
Kathleen Snodgrass is known as the spouse of Pulitzer Prize–winning American poet W. D. Snodgrass.
-
C.
Lorrie Baranek
Lorrie Baranek is a television producer best known for her executive production work on the current affairs series "The Problem with Jon Stewart."
-
D.
Cynthia Hudson
Cynthia Hudson is known as the wife of Stanley Hudson, a character from the American television series "The Office."
-
E.
Cathy Shumway
Cathy Shumway is a character from the satirical 1970s television soap opera "Mary Hartman, Mary Hartman."
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076ad4ec81908d36f541fca08d72 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ec2f35c8190a96af080cd7b6d0e |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 3:11 a.m.