Triple
T3659007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fisher King |
E77603
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Lesley Walker |
E220307
|
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: Lesley Walker | Statement: [The Fisher King, editedBy, Lesley Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lesley Walker Context triple: [The Fisher King, editedBy, Lesley Walker]
-
A.
Lesley Walker
chosen
Lesley Walker is a British film editor known for her work on numerous feature films, including the 2002 adaptation of "Nicholas Nickleby."
-
B.
Lesley Paterson
Lesley Paterson is a Scottish screenwriter, producer, and former triathlete best known for co-writing the Oscar-winning 2022 adaptation of "All Quiet on the Western Front."
-
C.
Lesley Laird
Lesley Laird is a Scottish Labour politician who served as a Member of Parliament and has been involved in UK and Scottish politics, including holding frontbench roles in the Labour Party.
-
D.
Lesley Sharp
Lesley Sharp is an English actress known for her work in television, film, and theatre, including prominent roles in series such as "Scott & Bailey" and "Afterlife."
-
E.
Lorraine Broughton
Lorraine Broughton is a highly skilled, stylish MI6 spy and lethal combatant who serves as the protagonist of the action thriller film "Atomic Blonde."
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d48a2081908ac0f76d548a53ee |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5767d12ac8190bf9be474bd6958c8 |
completed | March 14, 2026, 2:53 p.m. |
Created at: March 8, 2026, 3:25 p.m.