Triple
T6661975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All or Nothing |
E151497
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Ruth Sheen |
E588109
|
NE FINISHED |
How this triple was built (2 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: Ruth Sheen | Statement: [All or Nothing, stars, Ruth Sheen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Sheen Context triple: [All or Nothing, stars, Ruth Sheen]
-
A.
Ruth Sheen
chosen
Ruth Sheen is a British actress known for her frequent collaborations with director Mike Leigh in film, television, and theatre.
-
B.
Eileen Ryan
Eileen Ryan was an American actress known for her character roles in film and television and as the mother of actor and director Sean Penn.
-
C.
Annette O'Toole
Annette O'Toole is an American actress and singer-songwriter best known for her roles in Superman-related projects, including playing Lana Lang in "Superman III" and Martha Kent on the TV series "Smallville."
-
D.
Jane Roche
Jane Roche is known as the wife of renowned Irish-American architect Kevin Roche.
-
E.
Maeve Brennan
Maeve Brennan was a British librarian and writer best known as the longtime companion and muse of poet Philip Larkin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b097e0e481909251443f9ce0b85a |
completed | March 27, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0a0c208190ac6a309bfb2e4e4b |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:02 p.m.