Triple
T16877254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Woman in White |
E421329
|
entity |
| Predicate | originalLondonCastMember |
P59469
|
FINISHED |
| Object | Maria Friedman |
E1010152
|
NE FINISHED |
How this triple was built (3 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: Maria Friedman | Statement: [The Woman in White, originalLondonCastMember, Maria Friedman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Friedman Context triple: [The Woman in White, originalLondonCastMember, Maria Friedman]
-
A.
Maria Friedman
chosen
Maria Friedman is a British actress and singer renowned for her acclaimed performances in West End and Broadway musicals, particularly in the works of Stephen Sondheim.
-
B.
Francesca Hayward
Francesca Hayward is a British ballet dancer and actress, best known as a principal dancer with The Royal Ballet and for her leading role in the film adaptation of "Cats."
-
C.
Judith Hill
Judith Hill is an American singer-songwriter and powerhouse backup vocalist who has worked with artists like Michael Jackson and Prince and gained wider recognition through the documentary "20 Feet from Stardom."
-
D.
Jill Halfpenny
Jill Halfpenny is an English actress known for her roles in popular British television dramas and soaps such as EastEnders, Coronation Street, and Waterloo Road.
-
E.
Tania Raymonde
Tania Raymonde is an American actress best known for her roles in the television series Lost and the legal drama Goliath.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLondonCastMember Context triple: [The Woman in White, originalLondonCastMember, Maria Friedman]
-
A.
originalCastPerformer
Indicates that a performer was part of the original cast in the first production or release of a work.
-
B.
notableCastMember
Indicates that an entity is a member of the cast of another entity (such as a film, show, or production) and is considered particularly notable or significant in that role.
-
C.
playedBy
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
D.
hasCrewMember
Indicates that an entity includes or employs another entity as a member of its crew.
-
E.
originalCast
chosen
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
- F. None of above.
Provenance (4 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f704a081909921d00b3c470472 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b4abd08190841c5bb0b0eaa177 |
completed | May 10, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.