Triple
T20386766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spaced |
E497979
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Daisy Steiner |
—
|
NE NERFINISHED |
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: Daisy Steiner | Statement: [Spaced, mainCharacter, Daisy Steiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daisy Steiner Context triple: [Spaced, mainCharacter, Daisy Steiner]
-
A.
Daisy Steiner
chosen
Daisy Steiner is a quirky, aspiring writer and journalist who serves as one of the two main protagonists in the British sitcom "Spaced."
-
B.
Daisy Werthan
Daisy Werthan is an elderly, sharp-tongued Jewish widow from Atlanta whose evolving relationship with her Black chauffeur forms the emotional core of the play and film "Driving Miss Daisy."
-
C.
Emma Steiner
Emma Steiner is a fictional character known as the sister of Rudy Steiner in Markus Zusak's novel "The Book Thief."
-
D.
Daisy Mason
Daisy Mason is a kitchen maid who rises through the ranks in the early 20th-century English estate setting of the television series "Downton Abbey."
-
E.
Daisy Eagan
Daisy Eagan is an American actress best known for becoming one of the youngest Tony Award winners for her performance as Mary Lennox in the Broadway musical "The Secret Garden."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790bcef481909453d19c846ab420 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.