Triple
T1678087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yesterday |
E36277
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Lily James
Lily James is an English actress known for her roles in films such as Cinderella, Baby Driver, and Mamma Mia! Here We Go Again, as well as the TV series Downton Abbey.
|
E190401
|
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: Lily James | Statement: [Yesterday, starring, Lily James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lily James Context triple: [Yesterday, starring, Lily James]
-
A.
Tamsin Egerton
Tamsin Egerton is an English actress and model known for roles in films such as "St Trinian's," "Keeping Mum," and "The Look of Love."
-
B.
Katherine Hoult
Katherine Hoult is known as the spouse of Richard Mather.
-
C.
Jodie Comer
Jodie Comer is an English actress best known for her critically acclaimed, chameleonic performance as assassin Villanelle in the television series "Killing Eve."
-
D.
Anya Taylor-Joy
Anya Taylor-Joy is an award-winning actress known for her breakout role in "The Queen's Gambit" and performances in films such as "The Witch," "Split," and "Last Night in Soho."
-
E.
Imogen Poots
Imogen Poots is a British actress known for her versatile performances in films such as "Green Room," "28 Weeks Later," and "Need for Speed."
- 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: Lily James Triple: [Yesterday, starring, Lily James]
Generated description
Lily James is an English actress known for her roles in films such as Cinderella, Baby Driver, and Mamma Mia! Here We Go Again, as well as the TV series Downton Abbey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lily James Target entity description: Lily James is an English actress known for her roles in films such as Cinderella, Baby Driver, and Mamma Mia! Here We Go Again, as well as the TV series Downton Abbey.
-
A.
Tamsin Egerton
Tamsin Egerton is an English actress and model known for roles in films such as "St Trinian's," "Keeping Mum," and "The Look of Love."
-
B.
Katherine Hoult
Katherine Hoult is known as the spouse of Richard Mather.
-
C.
Jodie Comer
Jodie Comer is an English actress best known for her critically acclaimed, chameleonic performance as assassin Villanelle in the television series "Killing Eve."
-
D.
Anya Taylor-Joy
Anya Taylor-Joy is an award-winning actress known for her breakout role in "The Queen's Gambit" and performances in films such as "The Witch," "Split," and "Last Night in Soho."
-
E.
Imogen Poots
Imogen Poots is a British actress known for her versatile performances in films such as "Green Room," "28 Weeks Later," and "Need for Speed."
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa625f7e1081909c3c4fe76625783a |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71ba4db08190a532fb334fd0cd23 |
completed | March 8, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_69ad73cfce488190b0ed6b85713281d3 |
completed | March 8, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad74401cbc8190bfaba1e9f32810bc |
completed | March 8, 2026, 1:06 p.m. |
Created at: March 4, 2026, 7:29 p.m.