Triple
T14173936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The War Lord |
E351283
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Rosemary Forsyth |
E714836
|
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: Rosemary Forsyth | Statement: [The War Lord, starring, Rosemary Forsyth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosemary Forsyth Context triple: [The War Lord, starring, Rosemary Forsyth]
-
A.
Rosemary Forsyth
chosen
Rosemary Forsyth is a Canadian-born American actress best known for her roles in 1960s and 1970s films and television dramas.
-
B.
Rosemary Squire
Rosemary Squire is a prominent British theatre entrepreneur and producer, best known as the co-founder and former joint chief executive of the Ambassador Theatre Group, one of the world’s largest live theatre companies.
-
C.
Rosemary Laing
Rosemary Laing is an Australian parliamentary official who served as the Clerk of the Senate, overseeing its procedural and administrative functions.
-
D.
Rosemary Burrows
Rosemary Burrows is a costume designer best known for her work on the British comedy film "Carry On Cleo."
-
E.
Rosemary Martin
Rosemary Martin was a British actress known for her character roles in film and television during the 1970s and 1980s.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b7cc3081909f4fa371e1eae130 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01d196d88190a8fa54468b2de1bb |
completed | May 9, 2026, 9:43 a.m. |
Created at: April 10, 2026, 1:01 a.m.