Triple
T11467721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Day in September |
E271819
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Justine Wright |
E633734
|
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: Justine Wright | Statement: [One Day in September, editedBy, Justine Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justine Wright Context triple: [One Day in September, editedBy, Justine Wright]
-
A.
Justine Wright
chosen
Justine Wright is a British film editor known for her work on acclaimed feature films, including the political drama "The Last King of Scotland."
-
B.
Justine Wheeler
Justine Wheeler is a South African-born artist and studio manager best known for her long-term professional and personal partnership with contemporary artist Jeff Koons.
-
C.
Justine Waddell
Justine Waddell is a South African-born British actress known for her roles in period dramas and independent films, including the fantasy film "The Fall" (2006).
-
D.
Justine Maggart
Justine Maggart is an American singer and actress, known for her work in cabaret and musical theater.
-
E.
Justine Cotsonas
Justine Cotsonas is an American actress known for her work in television dramas and streaming series.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f74144819094479690c8151073 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e60415f6ac8190ad81ed0ef0a30e12 |
completed | April 20, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:35 p.m.