Triple
T14736358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Wenham |
E346219
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jane Wenham |
E346219
|
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: Jane Wenham | Statement: [Jane Wenham, name, Jane Wenham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Wenham Context triple: [Jane Wenham, name, Jane Wenham]
-
A.
Jane Wenham
chosen
Jane Wenham was a British actress known for her work in mid-20th-century film, television, and theatre.
-
B.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
-
C.
Emma Tennant
Emma Tennant was a British novelist known for her experimental, often fantastical fiction and for reimagining classic literary works.
-
D.
Helen Gibson
Helen Gibson was a pioneering American silent film actress and stunt performer, best known as one of early cinema’s first professional stuntwomen.
-
E.
Saskia Reeves
Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73114cc819088e1101b689fc70b |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ce6514c8190a37b023dcc0c1b1a |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:29 a.m.