Triple
T5642907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judy Davis |
E124310
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Gillian Armstrong |
E3085
|
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: Gillian Armstrong | Statement: [Judy Davis, workedWith, Gillian Armstrong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gillian Armstrong Context triple: [Judy Davis, workedWith, Gillian Armstrong]
-
A.
Gillian Armstrong
chosen
Gillian Armstrong is an Australian film director best known for works such as "My Brilliant Career" and the 1994 adaptation of "Little Women."
-
B.
Gillian Slater
Gillian Slater is best known as the first wife of British television presenter Noel Edmonds, to whom she was married in the 1970s.
-
C.
Jocelyn Moorhouse
Jocelyn Moorhouse is an Australian film director and screenwriter known for character-driven dramas such as "Proof" and "How to Make an American Quilt."
-
D.
Maggie Steed
Maggie Steed is a British actress and comedian known for her work in television, film, and theatre, including prominent roles in series such as "Pie in the Sky."
-
E.
Tania Goddard
Tania Goddard is a professional makeup artist known in part for her past marriage to guitarist Dave Navarro.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a6a22881908d16f4df564ed2a2 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d7c98008190b79528596eca4208 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:41 p.m.