Triple
T5398875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brighton Rock (1947 film) |
E120724
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Carol Marsh |
E522595
|
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: Carol Marsh | Statement: [Brighton Rock (1947 film), starring, Carol Marsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Marsh Context triple: [Brighton Rock (1947 film), starring, Carol Marsh]
-
A.
Carol Marsh
chosen
Carol Marsh was a British actress best known for her role in classic mid-20th-century horror cinema.
-
B.
Carol Richards
Carol Richards was an American singer best remembered for her popular mid-20th-century vocal performances, including classic holiday recordings.
-
C.
Barbara Trentham
Barbara Trentham was an American model and actress who later became a painter, known in part for her marriage to British comedian John Cleese.
-
D.
Ann Sadler
Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
-
E.
Sherry Marsh
Sherry Marsh is a television and film producer best known for executive producing acclaimed series such as "Vikings."
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87499ec4819086f8292625b56f96 |
completed | March 20, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfcb96c56c8190908d5aacd5afc88e |
completed | March 22, 2026, 10:59 a.m. |
Created at: March 20, 2026, 2:04 p.m.