Triple
T12339313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamela Gillies |
E294176
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pamela Gillies |
E294176
|
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: Pamela Gillies | Statement: [Pamela Gillies, name, Pamela Gillies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamela Gillies Context triple: [Pamela Gillies, name, Pamela Gillies]
-
A.
Pamela Gillies
chosen
Pamela Gillies is a Scottish academic and public health expert who has served as the principal and vice-chancellor of Glasgow Caledonian University.
-
B.
Gillian Hanna
Gillian Hanna was a British actress known for her work in film, television, and theatre, particularly in character roles.
-
C.
Pamela Munro
Pamela Munro is an American linguist known for her extensive work documenting and analyzing Indigenous languages of the Americas, including the Maricopa language.
-
D.
Pamela Fry
Pamela Fry is known primarily as the daughter of British art critic and painter Roger Fry, a central figure in the Bloomsbury Group.
-
E.
Lorna Campbell
Lorna Campbell is a fictional British intelligence agent and key supporting character who assists the bumbling spy in the comedy film "Johnny English."
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f678698819091462b44ff3435f6 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f6ed57c8190a365998cd53be873 |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 8, 2026, 9:53 p.m.