Triple
T14239407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Decay |
E352967
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Lalla Ward |
E357154
|
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: Lalla Ward | Statement: [State of Decay, stars, Lalla Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lalla Ward Context triple: [State of Decay, stars, Lalla Ward]
-
A.
Lalla Ward
chosen
Lalla Ward is an English actress and author best known for playing the Time Lady Romana in the long-running British science fiction series Doctor Who.
-
B.
Melora Walters
Melora Walters is an American actress known for her intense, emotionally charged performances in films such as "The Butterfly Effect" and several Paul Thomas Anderson movies.
-
C.
Catherine Durkan
Catherine Durkan is a notable individual associated with the Durkan family name, recognized as a bearer of this surname.
-
D.
Heather Menzies
Heather Menzies was a Canadian-born actress best known for playing Louisa von Trapp in the classic film "The Sound of Music."
-
E.
Gaynor Faye
Gaynor Faye is a British actress and writer best known for her roles in popular UK television dramas and soaps such as Coronation Street and Emmerdale.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd282183308190b63172972773b3c2 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.