Triple
T20015972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everything |
E494718
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Amy Foster-Gillies |
—
|
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: Amy Foster-Gillies | Statement: [Everything, writer, Amy Foster-Gillies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Foster-Gillies Context triple: [Everything, writer, Amy Foster-Gillies]
-
A.
Amy Foster-Gillies
chosen
Amy Foster-Gillies is a Canadian songwriter and lyricist best known for co-writing Michael Bublé’s hit ballad “Home.”
-
B.
Gillian Foster
Gillian Foster is a central character in the TV series "Lie to Me," a psychologist and partner in the deception-detection firm Lightman Group.
-
C.
Pamela Gillies
Pamela Gillies is a Scottish academic and public health expert who has served as the principal and vice-chancellor of Glasgow Caledonian University.
-
D.
Fiona Peyton
Fiona Peyton is a fictional character from the television series "Nurse Jackie," known as the teenage daughter of the show's protagonist, Jackie Peyton.
-
E.
Emily Lloyd
Emily Lloyd is a British actress best known for her acclaimed breakthrough role in the 1987 film "Wish You Were Here."
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623cb8188190b95913ffed895930 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.