Triple
T5505959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audra McDonald |
E144440
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Liz Lawrence
Liz Lawrence is a fictional character portrayed by acclaimed American actress and singer Audra McDonald.
|
E534513
|
NE FINISHED |
How this triple was built (4 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: Liz Lawrence | Statement: [Audra McDonald, characterPortrayed, Liz Lawrence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liz Lawrence Context triple: [Audra McDonald, characterPortrayed, Liz Lawrence]
-
A.
Liz Watts
Liz Watts is an Australian film and television producer known for her work on acclaimed projects such as the crime drama film "Animal Kingdom."
-
B.
Liz Wilson
Liz Wilson is a veterinarian and Jon Arbuckle’s love interest in the Garfield franchise, including the live-action film "Garfield: The Movie."
-
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.
Liz Davies
Liz Davies is a former English nurse best known as the second wife of television presenter Noel Edmonds.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Liz Lawrence Triple: [Audra McDonald, characterPortrayed, Liz Lawrence]
Generated description
Liz Lawrence is a fictional character portrayed by acclaimed American actress and singer Audra McDonald.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liz Lawrence Target entity description: Liz Lawrence is a fictional character portrayed by acclaimed American actress and singer Audra McDonald.
-
A.
Liz Watts
Liz Watts is an Australian film and television producer known for her work on acclaimed projects such as the crime drama film "Animal Kingdom."
-
B.
Liz Wilson
Liz Wilson is a veterinarian and Jon Arbuckle’s love interest in the Garfield franchise, including the live-action film "Garfield: The Movie."
-
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.
Liz Davies
Liz Davies is a former English nurse best known as the second wife of television presenter Noel Edmonds.
-
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. chosen
Provenance (5 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f47d2dc8190ad874be6902d8a4c |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04caef4e881909811f69360299a68 |
completed | March 22, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c04e827bdc819086e01e7043400452 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f088a3c81909610f1a564960e0f |
completed | March 22, 2026, 8:20 p.m. |
Created at: March 22, 2026, 3:32 p.m.