Triple
T14404205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lalla Ward |
E357154
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Sarah Ward
Sarah Ward is the birth name of English actress and author Lalla Ward, best known for playing Romana in the classic science-fiction series "Doctor Who."
|
E1104730
|
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: Sarah Ward | Statement: [Lalla Ward, birthName, Sarah Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Ward Context triple: [Lalla Ward, birthName, Sarah Ward]
-
A.
Sarah Ward
Sarah Ward is a British producer and the former wife of actor Tom Hardy.
-
B.
Emily Wharton
Emily Wharton is the central protagonist of Anthony Trollope’s political novel "The Prime Minister," around whom the story’s social and romantic conflicts revolve.
-
C.
Rosemary Forsyth
Rosemary Forsyth is a Canadian-born American actress best known for her roles in 1960s and 1970s films and television dramas.
-
D.
Bronwen Maddox
Bronwen Maddox is a British journalist and policy analyst who has held prominent leadership roles in UK public policy and media organizations.
-
E.
Rachel Ward
Rachel Ward is an English-Australian actress and director best known for her role in the television miniseries "The Thorn Birds."
- 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: Sarah Ward Triple: [Lalla Ward, birthName, Sarah Ward]
Generated description
Sarah Ward is the birth name of English actress and author Lalla Ward, best known for playing Romana in the classic science-fiction series "Doctor Who."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Ward Target entity description: Sarah Ward is the birth name of English actress and author Lalla Ward, best known for playing Romana in the classic science-fiction series "Doctor Who."
-
A.
Sarah Ward
Sarah Ward is a British producer and the former wife of actor Tom Hardy.
-
B.
Emily Wharton
Emily Wharton is the central protagonist of Anthony Trollope’s political novel "The Prime Minister," around whom the story’s social and romantic conflicts revolve.
-
C.
Rosemary Forsyth
Rosemary Forsyth is a Canadian-born American actress best known for her roles in 1960s and 1970s films and television dramas.
-
D.
Bronwen Maddox
Bronwen Maddox is a British journalist and policy analyst who has held prominent leadership roles in UK public policy and media organizations.
-
E.
Rachel Ward
Rachel Ward is an English-Australian actress and director best known for her role in the television miniseries "The Thorn Birds."
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90860ae481908e175decda8624d5 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a36382481909a39ba5e51084051 |
completed | May 8, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69fd7ae2ce048190ba802c4639c128d6 |
completed | May 8, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7b7147448190952a395f72662014 |
completed | May 8, 2026, 5:58 a.m. |
Created at: April 10, 2026, 1:17 a.m.