Triple
T18731356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunshine Cleaning |
E458041
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Heather Persons |
—
|
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: Heather Persons | Statement: [Sunshine Cleaning, editor, Heather Persons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heather Persons Context triple: [Sunshine Cleaning, editor, Heather Persons]
-
A.
Heather Persons
chosen
Heather Persons is a film editor best known for her work on the independent comedy-drama "Sunshine Cleaning."
-
B.
Heather Dunn
Heather Dunn is an American musician best known as the drummer for the 1990s indie pop band Tiger Trap.
-
C.
Heather Burns
Heather Burns is an American actress best known for her comedic supporting roles in films such as "Miss Congeniality" and "You've Got Mail."
-
D.
Heather Juergensen
Heather Juergensen is an American actress and writer best known for co-writing and starring in the indie romantic comedy film "Kissing Jessica Stein."
-
E.
Heather Horton
Heather Horton is a Canadian-born visual artist and painter known for her introspective, narrative-driven figurative and landscape works.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7854748190b66c4aaadfd67f29 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.