Triple
T21587340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agatha |
E532683
|
entity |
| Predicate | costumeDesigner |
P184
|
FINISHED |
| Object |
Shirley Russell
Shirley Russell was a British costume designer renowned for her detailed period work on films such as "Agatha" and several other acclaimed productions.
|
E1491041
|
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: Shirley Russell | Statement: [Agatha, costumeDesigner, Shirley Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirley Russell Context triple: [Agatha, costumeDesigner, Shirley Russell]
-
A.
Robin Russell
Robin Russell is an editor known for her work on the film "Life-Size."
-
B.
Rena Russell
Rena Russell was a film costume designer known for her work on the 1948 noir thriller "Hollow Triumph."
-
C.
Lorraine Kirke
Lorraine Kirke is a British-born New York boutique owner and costume designer known for her bohemian fashion aesthetic and as the mother of actress Jemima Kirke.
-
D.
Kathryn Erbe
Kathryn Erbe is an American actress best known for her role as Detective Alexandra Eames on the television series "Law & Order: Criminal Intent."
-
E.
Judi Farr
Judi Farr was an Australian actress known for her extensive work in theatre, film, and television, including prominent roles in classic Australian TV comedies and dramas.
- 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: Shirley Russell Triple: [Agatha, costumeDesigner, Shirley Russell]
Generated description
Shirley Russell was a British costume designer renowned for her detailed period work on films such as "Agatha" and several other acclaimed productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shirley Russell Target entity description: Shirley Russell was a British costume designer renowned for her detailed period work on films such as "Agatha" and several other acclaimed productions.
-
A.
Robin Russell
Robin Russell is an editor known for her work on the film "Life-Size."
-
B.
Rena Russell
Rena Russell was a film costume designer known for her work on the 1948 noir thriller "Hollow Triumph."
-
C.
Lorraine Kirke
Lorraine Kirke is a British-born New York boutique owner and costume designer known for her bohemian fashion aesthetic and as the mother of actress Jemima Kirke.
-
D.
Kathryn Erbe
Kathryn Erbe is an American actress best known for her role as Detective Alexandra Eames on the television series "Law & Order: Criminal Intent."
-
E.
Judi Farr
Judi Farr was an Australian actress known for her extensive work in theatre, film, and television, including prominent roles in classic Australian TV comedies and dramas.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb621ab88190a33a943424ffb306 |
completed | April 27, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09f67f08208190a1633fd2a28e2fa2 |
completed | May 17, 2026, 5:10 p.m. |
| NEDg | Description generation | batch_6a09f6fc3d7081909edf8cc575b6293e |
completed | May 17, 2026, 5:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f79098e48190acdcad615098c55a |
completed | May 17, 2026, 5:14 p.m. |
Created at: April 16, 2026, 6:31 p.m.