Triple
T10588922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wives and Daughters |
E249929
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Justine Waddell |
E526296
|
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 Waddell | Statement: [Wives and Daughters, stars, Justine Waddell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justine Waddell Context triple: [Wives and Daughters, stars, Justine Waddell]
-
A.
Justine Waddell
chosen
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).
-
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 Maggart
Justine Maggart is an American singer and actress, known for her work in cabaret and musical theater.
-
D.
Justine Wright
Justine Wright is a British film editor known for her work on acclaimed feature films, including the political drama "The Last King of Scotland."
-
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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277a39f08190848f24752cfa4b8f |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e215e3c3c88190833c1f56288629a2 |
completed | April 17, 2026, 11:13 a.m. |
Created at: April 6, 2026, 12:40 p.m.