Triple
T3944727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Marsh |
E92118
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jean Marsh |
E92118
|
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: Jean Marsh | Statement: [Jean Marsh, name, Jean Marsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Marsh Context triple: [Jean Marsh, name, Jean Marsh]
-
A.
Jean Marsh
chosen
Jean Marsh is an English actress and writer best known as the co-creator and star of the acclaimed television series "Upstairs, Downstairs."
-
B.
Hayley Mills
Hayley Mills is a British actress best known as a popular child star of the 1960s, particularly for her roles in Disney films such as "Pollyanna" and "The Parent Trap."
-
C.
Katy Manning
Katy Manning is a British actress best known to Doctor Who fans for playing the Third Doctor’s companion Jo Grant in the early 1970s.
-
D.
Zoe Shipton
Zoe Shipton is a prominent geologist recognized for her influential research on fault mechanics and earthquake processes.
-
E.
Renée Asherson
Renée Asherson was a British stage and film actress known for her delicate, expressive performances in mid-20th-century British cinema and theatre.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef0d8841081908d2c1de8e5758017 |
completed | March 9, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5339869fc8190aee0805a8e2deac5 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:24 p.m.