Triple
T22778542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Harrison |
E563770
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | In Storyland |
—
|
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: In Storyland | Statement: [Elizabeth Harrison, notableWork, In Storyland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In Storyland Context triple: [Elizabeth Harrison, notableWork, In Storyland]
-
A.
Storyland
Storyland is a film and television production company known for producing the mystery-thriller series "Wayward Pines."
-
B.
Storyland
chosen
Storyland is a whimsical, fairy-tale themed children's playground and attraction located within New Orleans City Park.
-
C.
Storybook Land
Storybook Land is a fairy tale–themed amusement park in Aberdeen, South Dakota, featuring storybook characters, themed rides, and attractions for young children and families.
-
D.
Storybook Island
Storybook Island is a children's theme park in Rapid City, South Dakota, featuring storybook-themed playgrounds and displays based on classic fairy tales and nursery rhymes.
-
E.
Story Land
Story Land is a family-oriented theme park in Bartlett, New Hampshire, featuring storybook- and fairy tale–themed rides and attractions for young children.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b631c6881908a6687920923dcf4 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.