Triple
T23152749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen Grace Philpotts-Page |
E578362
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tallulah |
—
|
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: Tallulah | Statement: [Ellen Grace Philpotts-Page, notableWork, Tallulah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tallulah Context triple: [Ellen Grace Philpotts-Page, notableWork, Tallulah]
-
A.
Tallulah
chosen
Tallulah is a 2016 independent drama film starring Elliot Page as a drifter who impulsively kidnaps a neglected baby, exploring themes of responsibility, identity, and unconventional family.
-
B.
Tallulah
Tallulah is a glamorous nightclub singer and love interest in the 1976 musical gangster film "Bugsy Malone."
-
C.
Tallulah
Tallulah is a 1987 indie pop/rock album by Australian band The Go-Betweens, noted for its melodic songwriting and literate lyrics.
-
D.
Tallulah
Tallulah is a feminine given name most famously associated with the American stage and film actress Tallulah Bankhead.
-
E.
Tallulah Winters
Tallulah Winters is a fictional character appearing in the Doctor Who audio drama "Ship Ahoy."
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efaa1fc81908fb1987dbf732f46 |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:01 p.m.